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For: Sree SV, Ng EYK, Acharya RU, Faust O. Breast imaging: A survey. World J Clin Oncol 2011; 2(4): 171-178 [PMID: 21611093 DOI: 10.5306/wjco.v2.i4.171]
URL: https://www.wjgnet.com/2218-4333/full/v2/i4/171.htm
Number Citing Articles
1
Roa’a Khaled, Joel Vidal, Robert Martí. Pattern Recognition. ICPR International Workshops and ChallengesLecture Notes in Computer Science 2021; 12661: 417 doi: 10.1007/978-3-030-68763-2_32
2
Maria Perez, Marco E. Benalcazar, Eduardo Tusa, Wilmer Rivas, Aura Conci. Mammogram classification using back-propagation neural networks and texture feature descriptors2017 IEEE Second Ecuador Technical Chapters Meeting (ETCM) 2017; : 1 doi: 10.1109/ETCM.2017.8247515
3
Ranjini K, Mouleeswaran S K. Breast Cancer Prediction by Leveraging Machine Learning and Deep learning Techniques with Different Imaging Modalities2022 IEEE 7th International conference for Convergence in Technology (I2CT) 2022; : 1 doi: 10.1109/I2CT54291.2022.9824749
4
P. Geetha, S. UmaMaheswari. Heat transfer capacity in millimeter size breast cancer cells analysis through thermal imaging and FDNCNN for primary stage identificationBiomedical Signal Processing and Control 2023; 80: 104361 doi: 10.1016/j.bspc.2022.104361
5
Farrah Masyitah Mohd Shuib, Marinah Othman, Khairi Abdulrahim, Zulistiana Zulkifli. Analysis of Motion Detection of Breast Tumor Based on Tissue Elasticity from B Mode Ultrasound Images Using Gradient Method Optical Flow Algorithm2013 1st International Conference on Artificial Intelligence, Modelling and Simulation 2013; : 278 doi: 10.1109/AIMS.2013.51
6
Dedy Hermansyah, Naufal Nandita Firsty. Breast Cancer2022; : 83 doi: 10.36255/exon-publications-breast-cancer-breast-imaging
7
O. Faust, U. R. Acharya, T. Tamura. Formal Design Methods for Reliable Computer-Aided Diagnosis: A ReviewIEEE Reviews in Biomedical Engineering 2012; 5: 15 doi: 10.1109/RBME.2012.2184750
8
Oliver Faust. Documenting and predicting topic changes in Computers in Biology and Medicine: A bibliometric keyword analysis from 1990 to 2017Informatics in Medicine Unlocked 2018; 11: 15 doi: 10.1016/j.imu.2018.03.002
9
Esmatullah Esmat, Ahmed Maseh Haidary, Ramin Saadaat, Syeda Naghma Rizvi, Syeda Aleena, Mujtaba Haidari, Sayed Murtaza Sadat Hofiani, Nasrin Hussaini, Ahmadullah Hakimi, Abdullatif Khairy, Jamshid Abdul-Ghafar. Association of hormone receptors and human epidermal growth factor receptor-2/neu expressions with clinicopathologic factors of breast carcinoma: a cross-sectional study in a tertiary care hospital, Kabul, AfghanistanBMC Cancer 2024; 24(1) doi: 10.1186/s12885-024-12129-5
10
Saket Kumar Singh, K. Sridhar Patnaik. Convergence of various computer-aided systems for breast tumor diagnosis: a comparative insightMultimedia Tools and Applications 2024;  doi: 10.1007/s11042-024-19620-y
11
S. P. Angeline Kirubha, M. Anburajan, B. Venkataraman, R. Akila, D. Sharath, Baldev Raj. Evaluation of Mammary Cancer in 7,12-Dimethylbenz(a)anthracene-Induced Wister Rats by Asymmetrical Temperature Distribution Analysis Using Thermography: A Comparison with Serum CEA Levels and HistopathologyJournal of Biomedicine and Biotechnology 2012; 2012: 1 doi: 10.1155/2012/786417
12
Ehsan Kozegar, Mohsen Soryani, Hamid Behnam, Masoumeh Salamati, Tao Tan. Computer aided detection in automated 3-D breast ultrasound images: a surveyArtificial Intelligence Review 2020; 53(3): 1919 doi: 10.1007/s10462-019-09722-7
13
Vaidehi Doye, Ranjini K. A Paradigm Shift in Breast Cancer Detection: Leveraging Transfer Learning for Enhanced Diagnostic Accuracy2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) 2024; : 1 doi: 10.1109/ICAECT60202.2024.10469409
14
Vartika Mishra, Subhendu Rath, Santanu Kumar Rath. Proceedings of the International Health Informatics ConferenceLecture Notes in Electrical Engineering 2023; 990: 311 doi: 10.1007/978-981-19-9090-8_27
15
Gisela L. G. Menezes, Ritse M. Mann, Carla Meeuwis, Bob Bisschops, Jeroen Veltman, Philip T. Lavin, Marc J. van de Vijver, Ruud M. Pijnappel. Optoacoustic imaging of the breast: correlation with histopathology and histopathologic biomarkersEuropean Radiology 2019; 29(12): 6728 doi: 10.1007/s00330-019-06262-0
16
Pooja Pathak, Anand Singh Jalal, Ritu Rai. Breast Cancer Image Classification: A ReviewCurrent Medical Imaging Formerly Current Medical Imaging Reviews 2021; 17(6): 720 doi: 10.2174/0929867328666201228125208
17
Tawseef Ayoub Shaikh, Rashid Ali, M. M. Sufyan Beg. Transfer learning privileged information fuels CAD diagnosis of breast cancerMachine Vision and Applications 2020; 31(1-2) doi: 10.1007/s00138-020-01058-5
18
Marianna Alunni-Fabbroni, Leonie Majunke, Elisabeth K. Trapp, Marie Tzschaschel, Sven Mahner, Peter A. Fasching, Tanja Fehm, Andreas Schneeweiss, Thomas Beck, Ralf Lorenz, Thomas W. P. Friedl, Wolfgang Janni, Brigitte Rack. Whole blood microRNAs as potential biomarkers in post-operative early breast cancer patientsBMC Cancer 2018; 18(1) doi: 10.1186/s12885-018-4020-7
19
Marwan Al Marwani, Nasser Alamri, Abdullah Allebdi. Synchronous bilateral breast cancer with different histologyRadiology Case Reports 2023; 18(7): 2491 doi: 10.1016/j.radcr.2023.04.006
20
V. Rajinikanth, N. Sri Madhava Raja, Suresh Chandra Satapathy, Nilanjan Dey, G. Glan Devadhas. Thermogram assisted detection and analysis of Ductal Carcinoma In Situ (DCIS)2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT) 2017; : 1641 doi: 10.1109/ICICICT1.2017.8342817
21
Rohit Yadav, Richa Sharma, Pushpendra Kumar Pateriya. Proceedings of Data Analytics and ManagementLecture Notes on Data Engineering and Communications Technologies 2022; 90: 737 doi: 10.1007/978-981-16-6289-8_60
22
Wenda He, Arne Juette, Erika R. E. Denton, Arnau Oliver, Robert Martí, Reyer Zwiggelaar. A Review on Automatic Mammographic Density and Parenchymal SegmentationInternational Journal of Breast Cancer 2015; 2015: 1 doi: 10.1155/2015/276217
23
Sheeja V Francis, M. Sasikala, G. Bhavani Bharathi, Sandeep D. Jaipurkar. Breast cancer detection in rotational thermography images using texture featuresInfrared Physics & Technology 2014; 67: 490 doi: 10.1016/j.infrared.2014.08.019
24
Zihao Wang, Shangchun Fan, Chujian Ren, Xiaorui Wei, Dezhi Zheng, Shuai Wang, Weiwei Xing, Xiaolei Qu. Enhancing Image Contrast in Breast USCT Reflection Imaging Using Coherence Factor BeamformingJournal of Physics: Conference Series 2024; 2822(1): 012020 doi: 10.1088/1742-6596/2822/1/012020
25
Shuyu Liang, Sicheng Xu, Shichong Zhou, Cai Chang, Zhiming Shao, Yuanyuan Wang, Sheng Chen, Yunxia Huang, Yi Guo. IMAGGS: a radiogenomic framework for identifying multi-way associations in breast cancer subtypesJournal of Genetics and Genomics 2024; 51(4): 443 doi: 10.1016/j.jgg.2023.09.010
26
Rohit Yadav, Richa Sharma. Advanced Informatics for Computing ResearchCommunications in Computer and Information Science 2021; 1393: 529 doi: 10.1007/978-981-16-3660-8_50
27
Asnida Abd Wahab, Maheza Irna Mohamad Salim, Maizatul Nadwa Che Aziz. Application of Infrared to Biomedical SciencesSeries in BioEngineering 2017; : 109 doi: 10.1007/978-981-10-3147-2_8
28
E. Dzidzornu, S.K. Angmorterh, B.B. Ofori-Manteaw, S. Aboagye, K. Dzefi-Tettey, E.K. Ofori. Mammography Diagnostic Reference Levels (DRLs) in GhanaRadiography 2021; 27(2): 611 doi: 10.1016/j.radi.2020.11.022
29
Barbara J. Grabher. Breast Cancer: Evaluating Tumor Estrogen Receptor Status with Molecular Imaging to Increase Response to Therapy and Improve Patient OutcomesJournal of Nuclear Medicine Technology 2020; 48(3): 191 doi: 10.2967/jnmt.119.239020
30
Tiago B. Borchartt, Aura Conci, Rita C.F. Lima, Roger Resmini, Angel Sanchez. Breast thermography from an image processing viewpoint: A surveySignal Processing 2013; 93(10): 2785 doi: 10.1016/j.sigpro.2012.08.012
31
Tatiana M. Mejia, Maria G. Perez, Victor H. Andaluz, Aura Conci. Automatic Segmentation and Analysis of Thermograms Using Texture Descriptors for Breast Cancer Detection2015 Asia-Pacific Conference on Computer Aided System Engineering 2015; : 24 doi: 10.1109/APCASE.2015.12
32
Moustapha Mohamed Saleck, Nagi Ould Taleb, Mohamed El Moustapha El Arby Chrif, El Benany Mohamed Mahmoud. Fourth International Conference on Image Processing and Capsule NetworksLecture Notes in Networks and Systems 2023; 798: 725 doi: 10.1007/978-981-99-7093-3_48
33
Leren Qian, Jiexin Bai, Yiqian Huang, Diyar Qader Zeebaree, Abbas Saffari, Dilovan Asaad Zebari. Breast cancer diagnosis using evolving deep convolutional neural network based on hybrid extreme learning machine technique and improved chimp optimization algorithmBiomedical Signal Processing and Control 2024; 87: 105492 doi: 10.1016/j.bspc.2023.105492
34
G. Andria, F. Attivissimo, A. Di Nisio, A. M. L. Lanzolla, M. Spadavecchia. Image quality evaluation of breast tomosynthesis2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA) 2016; : 1 doi: 10.1109/MeMeA.2016.7533723
35
Sheeja V. Francis, M. Sasikala, S. Saranya. Detection of Breast Abnormality from Thermograms Using Curvelet Transform Based Feature ExtractionJournal of Medical Systems 2014; 38(4) doi: 10.1007/s10916-014-0023-3
36
Rute Santos, Ana Raquel Ribeiro, Daniela Marques. Ultrasound as a Method for Early Diagnosis of Breast PathologyJournal of Personalized Medicine 2023; 13(7): 1156 doi: 10.3390/jpm13071156
37
Nagma Vohra, Tanny Chavez, Joel R. Troncoso, Narasimhan Rajaram, Jingxian Wu, Keith Bailey, Magda El-Shenawee. Terahertz Imaging of Breast Cancer using Human and Animal Models2021 IEEE Conference on Antenna Measurements & Applications (CAMA) 2021; : 368 doi: 10.1109/CAMA49227.2021.9703666
38
Payel Pramanik, Rishav Pramanik, Anurup Naskar, Seyedali Mirjalili, Ram Sarkar. Handbook of Whale Optimization Algorithm2024; : 179 doi: 10.1016/B978-0-32-395365-8.00020-8
39
Kofi Adesi Kyei, Samuel Anim-Sampong, Eugene Nartey Ahulu, William Kwadwo Antwi, Joseph Daniels. Assessment of average glandular dose in mammography practice of a teaching hospital in GhanaThe Pan African Medical Journal 2024; 47 doi: 10.11604/pamj.2024.47.42.39243
40
Nurshafira Hazim Chan, Khairunnisa Hasikin, Nahrizul Adib Kadri, Mokhzaini Azizan, Muzammil B. Jusoh. Optimization of Local Contrast Factor with Adaptive Brightness Improvement: Impact on Mammogram Image AnalysisJournal of Medical Imaging and Health Informatics 2021; 11(8): 2217 doi: 10.1166/jmihi.2021.3591
41
Olaide N. Oyelade, Eric Aghiomesi Irunokhai, Hui Wang. A twin convolutional neural network with hybrid binary optimizer for multimodal breast cancer digital image classificationScientific Reports 2024; 14(1) doi: 10.1038/s41598-024-51329-8
42
M. Pavelski, D.M. Silva, N.C. Leite, D.A. Junior, R.S de Sousa, S.D. Guérios, P.T. Dornbusch. Infrared Thermography in Dogs with Mammary Tumors and Healthy DogsJournal of Veterinary Internal Medicine 2015; 29(6): 1578 doi: 10.1111/jvim.13597
43
Carmen Bax, Beatrice Julia Lotesoriere, Selena Sironi, Laura Capelli. Review and Comparison of Cancer Biomarker Trends in Urine as a Basis for New Diagnostic PathwaysCancers 2019; 11(9): 1244 doi: 10.3390/cancers11091244
44
Giulia Maffeis, Laura Di Sieno, Alberto Dalla Mora, Antonio Pifferi, Alberto Tosi, Enrico Conca, Andrea Giudice, Alessandro Ruggeri, Simone Tisa, Alexander Flocke, Bogdan Rosinski, Jean-Marc Dinten, Mathieu Perriollat, Jonathan Lavaud, Simon Arridge, Giuseppe Di Sciacca, Andrea Farina, Pietro Panizza, Elena Venturini, Peter Gordebeke, Paola Taroni. The SOLUS instrument: Optical characterization of the first hand-held probe for multimodal imaging (ultrasound and multi-wavelength time-resolved diffuse optical tomography)Optics and Lasers in Engineering 2024; 176: 108075 doi: 10.1016/j.optlaseng.2024.108075
45
Gregorio Andria, Filippo Attivissimo, Attilio Di Nisio, Anna M. L. Lanzolla, Alberto Maiorana, Marco Mangiatini, Maurizio Spadavecchia. Dosimetric Characterization and Image Quality Assessment in Breast TomosynthesisIEEE Transactions on Instrumentation and Measurement 2017; 66(10): 2535 doi: 10.1109/TIM.2017.2692318
46
Pradeep Kumar, Subodh Srivastava, Y Padma Sai. Recasted nonlinear complex diffusion method for removal of Rician noise from breast MRI imagesThe Journal of Defense Modeling and Simulation: Applications, Methodology, Technology 2023; 20(2): 269 doi: 10.1177/15485129211052284
47
Omobolaji Ayandipo, Oluwasanmi Ajagbe, Gbolahan Obajimi, Olusola Idowu, Amos Adeleye, Temidayo Ogundiran. Virginal breast hypertrophy – An uncommon breast diseaseInternational Journal of Surgery Open 2023; 61: 100711 doi: 10.1016/j.ijso.2023.100711
48
Hossam M. Moftah, Aboul Ella Hassanien, Adel M. Alimi, Hichem Karray, M.F. Tolba. Ant-based clustering algorithm for magnetic resonance breast image segmentation13th International Conference on Hybrid Intelligent Systems (HIS 2013) 2013; : 161 doi: 10.1109/HIS.2013.6920475
49
Ehsan Kozegar, Mohsen Soryani. A cost-sensitive Bayesian combiner for reducing false positives in mammographic mass detectionBiomedical Engineering / Biomedizinische Technik 2017; 0(0) doi: 10.1515/bmt-2017-0032
50
Martin Pesta, Vlastimil Kulda, Andrea Narsanska, Jakub Fichtl, Ondrej Topolcan. May CTC technologies promote better cancer management?EPMA Journal 2015; 6(1) doi: 10.1186/s13167-014-0023-x
51
Jing Hu, Manuchehr Soleimani. Combining Multiple Boundary Shapes in Deformable EIT a Potential Use in Breast ImagingIEEE Sensors Letters 2020; 4(4): 1 doi: 10.1109/LSENS.2020.2978289
52
A. Sulieman, O. Serhan, H.I. Al-Mohammed, M.Z. Mahmoud, M. Alkhorayef, B. Alonazi, E. Manssor, A. Yousef. Estimation of cancer risks during mammography procedure in Saudi ArabiaSaudi Journal of Biological Sciences 2019; 26(6): 1107 doi: 10.1016/j.sjbs.2018.10.005
53
OLIVER FAUST, WENWEI YU. FORMAL AND MODEL DRIVEN DESIGN OF THE BRIGHT LIGHT THERAPY SYSTEM LUXAMETJournal of Mechanics in Medicine and Biology 2016; 16(05): 1650065 doi: 10.1142/S0219519416500652
54
Vinitha Sree S, Rob Royea, Kevin J. Buckman, Matt Benardis, Jim Holmes, Ronald L. Fletcher, Ng EYK, U. Rajendra Acharya, Joshua D.I. Ellenhorn. An introduction to the Cyrcadia Breast Monitor: A wearable breast health monitoring deviceComputer Methods and Programs in Biomedicine 2020; 197: 105758 doi: 10.1016/j.cmpb.2020.105758
55
Asnida Abd Wahab, Maheza Irna Mohamad Salim, Mohamad Asmidzam Ahamat, Noraida Abd Manaf, Jasmy Yunus, Khin Wee Lai. Thermal distribution analysis of three-dimensional tumor-embedded breast models with different breast density compositionsMedical & Biological Engineering & Computing 2016; 54(9): 1363 doi: 10.1007/s11517-015-1403-7
56
Roa'a Khaled, Joel Vidal, Joan C Vilanova, Robert Martí. A U-Net Ensemble for breast lesion segmentation in DCE MRIComputers in Biology and Medicine 2022; 140: 105093 doi: 10.1016/j.compbiomed.2021.105093
57
Pradeep Kumar, Abhinav Kumar, Subodh Srivastava, Yarlagadda Padma Sai. A novel bi-modal extended Huber loss function based refined mask RCNN approach for automatic multi instance detection and localization of breast cancerProceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 2022; 236(7): 1036 doi: 10.1177/09544119221095416
58
K Punithavathi, G Yamuna. A Comparative Study For Breast Cancer Prediction Methods Using Deep Learning Technique2023 12th International Conference on Advanced Computing (ICoAC) 2023; : 1 doi: 10.1109/ICoAC59537.2023.10249924
59
Mehreen Tariq, Sajid Iqbal, Hareem Ayesha, Ishaq Abbas, Khawaja Tehseen Ahmad, Muhammad Farooq Khan Niazi. Medical image based breast cancer diagnosis: State of the art and future directionsExpert Systems with Applications 2021; 167: 114095 doi: 10.1016/j.eswa.2020.114095
60
E. Sudheer Kumar, C. Shoba Bindu, Sirivella Madhu. Machine Learning and Deep Learning in Real-Time ApplicationsAdvances in Computer and Electrical Engineering 2020; : 168 doi: 10.4018/978-1-7998-3095-5.ch008
61
Clément Jailin, Sara Mohamed, Razvan Iordache, Pablo Milioni De Carvalho, Salwa Yehia Ahmed, Engy Abdullah Abdel Sattar, Amr Farouk Ibrahim Moustafa, Mohammed Mohammed Gomaa, Rashaa Mohammed Kamal, Laurence Vancamberg. AI-Based Cancer Detection Model for Contrast-Enhanced MammographyBioengineering 2023; 10(8): 974 doi: 10.3390/bioengineering10080974
62
Claudia Mazo, Claudia Aura, Arman Rahman, William M. Gallagher, Catherine Mooney. Application of Artificial Intelligence Techniques to Predict Risk of Recurrence of Breast Cancer: A Systematic ReviewJournal of Personalized Medicine 2022; 12(9): 1496 doi: 10.3390/jpm12091496
63
Richard E. Darienzo, Jingming Wang, Olivia Chen, Maurinne Sullivan, Tatsiana Mironava, Hyungjin Kim, Rina Tannenbaum. Surface-Enhanced Raman Spectroscopy Characterization of Breast Cell Phenotypes: Effect of Nanoparticle GeometryACS Applied Nano Materials 2019; 2(11): 6960 doi: 10.1021/acsanm.9b01436
64
F. Kilburn-Toppin, S.J. Barter. New Horizons in Breast ImagingClinical Oncology 2013; 25(2): 93 doi: 10.1016/j.clon.2012.10.002
65
E. Dzidzornu, S.K. Angmorterh, B.B. Ofori-Manteaw, S. Aboagye, E.K. Ofori, S. Owusu-Agyei, P. Hogg. Compression force variability in mammography in Ghana – A baseline studyRadiography 2021; 27(1): 150 doi: 10.1016/j.radi.2020.07.007
66
Zahra Rezanejad Gatabi, Mehri Mirhoseini, Nasrin Khajeali, Iman Rezanezhad Gatabi, Maedeh Dabbaghianamiri, Sara Dorri, Pranshu Sahgal. The Accuracy of Electrical Impedance Tomography for Breast Cancer Detection: A Systematic Review and Meta-AnalysisThe Breast Journal 2022; 2022: 1 doi: 10.1155/2022/8565490
67
Xiaolei Qu, Hongyan Lu, Wenzhong Tang, Shuai Wang, Dezhi Zheng, Yaxin Hou, Jue Jiang. A VGG attention vision transformer network for benign and malignant classification of breast ultrasound imagesMedical Physics 2022; 49(9): 5787 doi: 10.1002/mp.15852
68
Cuong Vo-Le, Nguyen Hong Son, Pham Van Muoi, Nguyen Hoai Phuong. Breast Cancer Detection from Histopathological Biopsy Images Using Transfer Learning2020 IEEE Eighth International Conference on Communications and Electronics (ICCE) 2021; : 408 doi: 10.1109/ICCE48956.2021.9352069
69
E. Sudheer Kumar, C. Shoba Bindu, Sirivella Madhu. Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention2022; : 1267 doi: 10.4018/978-1-6684-7544-7.ch065
70
Amrutha Manigandan, Vandhana Handi, Niranjana Sri Sundaramoorthy, Ramya Dhandapani, Janani Radhakrishnan, Swaminathan Sethuraman, Anuradha Subramanian. Responsive Nanomicellar Theranostic Cages for Metastatic Breast CancerBioconjugate Chemistry 2018; 29(2): 275 doi: 10.1021/acs.bioconjchem.7b00577
71
Sandra Santiago-Mesas, Elizabeth Fernandez-Aranzamendi, Daniel Segovia-Vargas, Adrián Amor-Martín, Vicente González-Posadas. A High-Stability and High-Sensitivity Active Sensor for Non-Invasive Breast Cancer Detection2023 53rd European Microwave Conference (EuMC) 2023; : 432 doi: 10.23919/EuMC58039.2023.10290544
72
Elham Mahmoudzadeh, Maryam Zekri, Mohammad Ali Montazeri, Saeid Sadri, Sima Taghizadeh Dabbagh. Directional SUSAN image boundary detection of breast thermogramIET Image Processing 2016; 10(7): 552 doi: 10.1049/iet-ipr.2015.0347
73
Emily Zheng, Huijuan Zhang, Wentao Hu, Marvin M. Doyley, Jun Xia. Volumetric tri-modal imaging with combined photoacoustic, ultrasound, and shear wave elastographyJournal of Applied Physics 2022; 132(3) doi: 10.1063/5.0093619
74
Parita Oza, Paawan Sharma, Samir Patel, Pankaj Kumar. Computer-Aided Breast Cancer Diagnosis: Comparative Analysis of Breast Imaging Modalities and Mammogram RepositoriesCurrent Medical Imaging Formerly Current Medical Imaging Reviews 2022; 19(5): 456 doi: 10.2174/1573405618666220621123156
75
J.P. S. de Oliveira, A. Conci, Maria G. Perez, Victor H. Andaluz. Segmentation of infrared images: A new technology for early detection of breast diseases2015 IEEE International Conference on Industrial Technology (ICIT) 2015; : 1765 doi: 10.1109/ICIT.2015.7125353
76
Handan Derebaşınlıoğlu, Sanem Nemmezi Karaca. The importance of preoperative imaging methods in reduction mammoplastyJournal of Plastic, Reconstructive & Aesthetic Surgery 2022; 75(4): 1424 doi: 10.1016/j.bjps.2021.11.073
77
Muhammad Junaid Umer, Muhammad Sharif, Shui‐Hua Wang. Breast cancer classification and segmentation framework using multiscale CNN and U‐shaped dual decoded attention networkExpert Systems 2022;  doi: 10.1111/exsy.13192
78
Yusuf Celik, Muhammed Talo, Ozal Yildirim, Murat Karabatak, U Rajendra Acharya. Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide imagesPattern Recognition Letters 2020; 133: 232 doi: 10.1016/j.patrec.2020.03.011
79
Nilanjan Dey, V. Rajinikanth, Aboul Ella Hassanien. Proceedings of International Conference on Data Science and ApplicationsLecture Notes in Networks and Systems 2021; 148: 209 doi: 10.1007/978-981-15-7561-7_17
80
Alberto Labrada, Buket D. Barkana. A Comprehensive Review of Computer-Aided Models for Breast Cancer Diagnosis Using Histopathology ImagesBioengineering 2023; 10(11): 1289 doi: 10.3390/bioengineering10111289
81
吴青霞 Wu Qingxia, 李柏楠 Li Bainan, 惠紫阳 Hui Ziyang, 王子函 Wang Zihan, 李运宏 Li Yunhong, 尚林伟 Shang Linwei, 尹建华 Yin Jianhua. 乳腺癌的多模态显微谱像分析及智能融合诊断研究Chinese Journal of Lasers 2024; 51(15): 1507205 doi: 10.3788/CJL240724
82
Handan Derebaşınlıoğlu, Sarper Yılmaz. Approach to histopathological incidental lesions after reduction mammoplastyEuropean Journal of Plastic Surgery 2020; 43(2): 147 doi: 10.1007/s00238-019-01576-0
83
Debasray Saha, Neeraj Vaishnav, Abhimanyu Kumar Jha. Biomedical Computing for Breast Cancer Detection and DiagnosisAdvances in Bioinformatics and Biomedical Engineering 2021; : 188 doi: 10.4018/978-1-7998-3456-4.ch009
84
Md. Kamrul Hasan, Tajwar Abrar Aleef, Shidhartho Roy. Automatic Mass Classification in Breast Using Transfer Learning of Deep Convolutional Neural Network and Support Vector Machine2020 IEEE Region 10 Symposium (TENSYMP) 2020; : 110 doi: 10.1109/TENSYMP50017.2020.9230708
85
Parita Oza. Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images2024; : 39 doi: 10.1016/B978-0-443-13999-4.00005-5
86
Ehsan Kozegar, Mohsen Soryani, Hamid Behnam, Masoumeh Salamati, Tao Tan. Breast cancer detection in automated 3D breast ultrasound using iso-contours and cascaded RUSBoostsUltrasonics 2017; 79: 68 doi: 10.1016/j.ultras.2017.04.008
87
J. Josephine Selle, A. Shenbagavalli, N. Sriraam, B. Venkatraman, M. Jayashree, M. Menaka. Automated recognition of ROIs for breast thermograms of lateral view-a pilot studyQuantitative InfraRed Thermography Journal 2018; : 1 doi: 10.1080/17686733.2018.1426137
88
Krithika Venkataramani, Lalit K. Mestha, L. Ramachandra, S. S. Prasad, Vijay Kumar, Priyanka J. Raja. Semi-automated breast cancer tumor detection with thermographic video imaging2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2015; : 2022 doi: 10.1109/EMBC.2015.7318783
89
Jinjin Wu, Zhibing Xu, Linwei Shang, Zihan Wang, Suwei Zhou, Hui Shang, Huijie Wang, Jianhua Yin. Multimodal microscopic imaging with deep learning for highly effective diagnosis of breast cancerOptics and Lasers in Engineering 2023; 168: 107667 doi: 10.1016/j.optlaseng.2023.107667
90
Birmohan Singh, Manpreet Kaur. An approach for classification of malignant and benign microcalcification clustersSādhanā 2018; 43(3) doi: 10.1007/s12046-018-0805-2
91
Asnida Abdul Wahab, Maheza Irna Mohamad Salim, Jasmy Yunus, Maizatul Nadwa Che Aziz. Tumor localization in breast thermography with various tissue compositions by using Artificial Neural Network2015 IEEE Student Conference on Research and Development (SCOReD) 2015; : 484 doi: 10.1109/SCORED.2015.7449383
92
Isaiah A. Edwards, Flavia De Carlo, Juliana Sitta, William Varner, Candace M. Howard, Pier Paolo Claudio. Enhancing Targeted Therapy in Breast Cancer by Ultrasound-Responsive NanocarriersInternational Journal of Molecular Sciences 2023; 24(6): 5474 doi: 10.3390/ijms24065474
93
A. Prabhakara Rao, G. Prasanna Kumar, Rakesh Ranjan. Pattern Recognition and Data Analysis with ApplicationsLecture Notes in Electrical Engineering 2022; 888: 689 doi: 10.1007/978-981-19-1520-8_56
94
Samantha L. Heller, Abbas Charlie, James S. Babb, Linda Moy, Yiming Gao. Trends in breast imaging: an analysis of 21 years of formal scientific abstracts at the Radiological Society of North AmericaClinical Imaging 2018; 49: 1 doi: 10.1016/j.clinimag.2017.10.018
95
Marianna Alunni-Fabbroni, Volkmar Müller, Tanja Fehm, Wolfgang Janni, Brigitte Rack. Monitoring in Metastatic Breast Cancer: Is Imaging Outdated in the Era of Circulating Tumor Cells?Breast Care 2014; 9(1): 16 doi: 10.1159/000360438
96
Carmelo Pirri, Nina Pirri, Veronica Macchi, Diego Guidolin, Andrea Porzionato, Raffaele De Caro, Carla Stecco. The Value of Fractal Analysis in Ultrasound Imaging: Exploring Intricate PatternsApplied Sciences 2024; 14(21): 9750 doi: 10.3390/app14219750
97
Braden Miller, Hunter Chalfant, Alexandra Thomas, Elizabeth Wellberg, Christina Henson, Molly W. McNally, William E. Grizzle, Ajay Jain, Lacey R. McNally. Diabetes, Obesity, and Inflammation: Impact on Clinical and Radiographic Features of Breast CancerInternational Journal of Molecular Sciences 2021; 22(5): 2757 doi: 10.3390/ijms22052757
98
Norhène Gargouri, Raouia Mokni, Alima Damak, Dorra Sellami, Riadh Abid. An automatic breast computer‐aided diagnosis scheme based on a weighted fusion of relevant features and a deep CNN classifierIET Image Processing 2022; 16(12): 3394 doi: 10.1049/ipr2.12572
99
U. Raghavendra, Anjan Gudigar, Tejaswi N. Rao, Edward J. Ciaccio, E.Y.K. Ng, U. Rajendra Acharya. Computer-aided diagnosis for the identification of breast cancer using thermogram images: A comprehensive reviewInfrared Physics & Technology 2019; 102: 103041 doi: 10.1016/j.infrared.2019.103041
100
Sheeja V. Francis, M. Sasikala, Sandeep D. Jaipurkar. Application of Infrared to Biomedical SciencesSeries in BioEngineering 2017; : 133 doi: 10.1007/978-981-10-3147-2_9
101
K. Sangeetha, S. Prakash. An Early Breast Cancer Detection System Using Stacked Auto Encoder Deep Neural Network with Particle Swarm Optimization Based Classification MethodJournal of Medical Imaging and Health Informatics 2021; 11(12): 2897 doi: 10.1166/jmihi.2021.3886
102
Shahid Munir Shah, Rizwan Ahmed Khan, Sheeraz Arif, Unaiza Sajid. Artificial intelligence for breast cancer analysis: Trends & directionsComputers in Biology and Medicine 2022; 142: 105221 doi: 10.1016/j.compbiomed.2022.105221
103
Tarek Mohammed Hegazi, Abdulaziz Mohammad AlSharydah, Iba Alfawaz, Afnan Fahad Al-Muhanna, Sarah Yousef Faisal. The Impact of Data Management on the Achievable Dose and Efficiency of Mammography and Radiography During the COVID-19 Era: A Facility-Based Cohort StudyRisk Management and Healthcare Policy 2023; : 401 doi: 10.2147/RMHP.S389960
104
Francine B. De Abreu, Wendy A. Wells, Gregory J. Tsongalis. The Emerging Role of the Molecular Diagnostics Laboratory in Breast Cancer Personalized MedicineThe American Journal of Pathology 2013; 183(4): 1075 doi: 10.1016/j.ajpath.2013.07.002
105
Mohamed Hosni, Ibtissam Abnane, Ali Idri, Juan M. Carrillo de Gea, José Luis Fernández Alemán. Reviewing ensemble classification methods in breast cancerComputer Methods and Programs in Biomedicine 2019; 177: 89 doi: 10.1016/j.cmpb.2019.05.019
106
Norhayati Mohd Zain, Kanaga Kumari Chelliah. Breast Imaging Using Electrical Impedance Tomography: Correlation of Quantitative Assessment with Visual InterpretationAsian Pacific Journal of Cancer Prevention 2014; 15(3): 1327 doi: 10.7314/APJCP.2014.15.3.1327
107
Ziba Gandomkar, Claudia Mello-Thoms. Visual search in breast imagingThe British Journal of Radiology 2019; 92(1102) doi: 10.1259/bjr.20190057
108
Smaranda Belciug, Florin Gorunescu. Intelligent Decision Support Systems—A Journey to Smarter HealthcareIntelligent Systems Reference Library 2020; 157: 103 doi: 10.1007/978-3-030-14354-1_4
109
Lahanda Purage G. Sherminie, Mohan L. Jayatilake. Fractal Dimension Analysis of Pixel Dynamic Contrast Enhanced-Magnetic Resonance Imaging Pharmacokinetic Parameters for Discrimination of Benign and Malignant Breast LesionsJCO Clinical Cancer Informatics 2023; (7) doi: 10.1200/CCI.22.00101
110
Zuoxun Hou, Ruichen Yuan, Zihao Wang, Xiaorui Wei, Chujian Ren, Jiale Zhou, Xiaolei Qu. Ultrasound Computed Tomography Reflection Imaging with Coherence-Factor Beamforming for Breast Tumor Early DetectionMathematics 2024; 12(7): 1106 doi: 10.3390/math12071106
111
Marie UMUTONI, MUSONI Wilson. Developing a Hybrid Model for Analyzing Students’ Academic Performance using ICT Integration in Higher Learning Institutions: A Case Study of IPRC-HUYE, RWANDAInternational Journal of Innovative Science and Research Technology (IJISRT) 2024; : 1561 doi: 10.38124/ijisrt/IJISRT24MAR1577
112
Francesco Visentin, Vincent Groenhuis, Bogdan Maris, Diego Dall’Alba, Françoise Siepel, Stefano Stramigioli, Paolo Fiorini. Iterative simulations to estimate the elastic properties from a series of MRI images followed by MRI-US validationMedical & Biological Engineering & Computing 2019; 57(4): 913 doi: 10.1007/s11517-018-1931-z
113
Palak Popat, Venugopal Prudveesh Kumar Reddy Nandi, Aparna Katdare, Purvi Haria, Meenakshi Thakur, Suyash Kulkarni. Diagnostic Accuracy and Incremental Value of Contrast-Enhanced Mammography Compared With Full Field Digital Mammography in a Tertiary Cancer Care CenterCureus 2024;  doi: 10.7759/cureus.68601
114
Aimée Sakes, Kevin Snaar, Gerwin Smit, Arjen J Witkamp, Paul Breedveld. Design of a novel miniature breast biopsy needle for ductoscopyBiomedical Physics & Engineering Express 2018; 4(3): 035020 doi: 10.1088/2057-1976/aab218
115
Gisela L. G. Menezes, Ruud M. Pijnappel, Carla Meeuwis, Robertus Bisschops, Jeroen Veltman, Philip T. Lavin, Marc J. van de Vijver, Ritse M. Mann. Downgrading of Breast Masses Suspicious for Cancer by Using Optoacoustic Breast ImagingRadiology 2018; 288(2): 355 doi: 10.1148/radiol.2018170500
116
Omar S. Soliman, Aboul Ella Hassanien. Rough Sets and Current Trends in ComputingLecture Notes in Computer Science 2012; 7413: 106 doi: 10.1007/978-3-642-32115-3_12
117
Hina M. Ismail, Christopher G. Pretty, Matthew K. Signal, Marcus Haggers, J. Geoffrey Chase. Attributes, Performance, and Gaps in Current & Emerging Breast Cancer Screening TechnologiesCurrent Medical Imaging Formerly Current Medical Imaging Reviews 2019; 15(2): 122 doi: 10.2174/1573405613666170825115032
118
A. I.  Berishvili, A. G. Kedrova, T.  A. Greyan, O. V. Zaitseva. Obesity and breast cancerTumors of female reproductive system 2022; 18(3): 40 doi: 10.17650/1994-4098-2022-18-3-40-51
119
Haixian Zhang, Dongjing Qin, Zhi Yang, Kun Wang, Fang Sun, Baowei Li, Guanghe Cui. Comparison of Diffuse Optical Tomography, Ultrasound Elastography and Mammography in the Diagnosis of Breast TumorsUltrasound in Medicine & Biology 2014; 40(1): 1 doi: 10.1016/j.ultrasmedbio.2013.09.008
120
M J Fartaria, C Reis, J Pereira, M F Pereira, J V Cardoso, L M Santos, C Oliveira, V Holovey, A Pascoal, J G Alves. Assessment of the mean glandular dose using LiF:Mg,Ti, LiF:Mg,Cu,P, Li2B4O7:Mn and Li2B4O7:Cu TL detectors in mammography radiation fieldsPhysics in Medicine and Biology 2016; 61(17): 6384 doi: 10.1088/0031-9155/61/17/6384