BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Turkki R, Byckhov D, Lundin M, Isola J, Nordling S, Kovanen PE, Verrill C, von Smitten K, Joensuu H, Lundin J, Linder N. Breast cancer outcome prediction with tumour tissue images and machine learning. Breast Cancer Res Treat 2019;177:41-52. [PMID: 31119567 DOI: 10.1007/s10549-019-05281-1] [Cited by in Crossref: 27] [Cited by in F6Publishing: 19] [Article Influence: 9.0] [Reference Citation Analysis]
Number Citing Articles
1 Kim JY, Lee YS, Yu J, Park Y, Lee SK, Lee M, Lee JE, Kim SW, Nam SJ, Park YH, Ahn JS, Kang M, Im YH. Deep Learning-Based Prediction Model for Breast Cancer Recurrence Using Adjuvant Breast Cancer Cohort in Tertiary Cancer Center Registry. Front Oncol 2021;11:596364. [PMID: 34017679 DOI: 10.3389/fonc.2021.596364] [Reference Citation Analysis]
2 Chen L, Zeng H, Xiang Y, Huang Y, Luo Y, Ma X. Histopathological Images and Multi-Omics Integration Predict Molecular Characteristics and Survival in Lung Adenocarcinoma. Front Cell Dev Biol 2021;9:720110. [PMID: 34708036 DOI: 10.3389/fcell.2021.720110] [Reference Citation Analysis]
3 Sandeman K, Blom S, Koponen V, Manninen A, Juhila J, Rannikko A, Ropponen T, Mirtti T. AI Model for Prostate Biopsies Predicts Cancer Survival. Diagnostics 2022;12:1031. [DOI: 10.3390/diagnostics12051031] [Reference Citation Analysis]
4 Coccia M. Deep learning technology for improving cancer care in society: New directions in cancer imaging driven by artificial intelligence. Technology in Society 2020;60:101198. [DOI: 10.1016/j.techsoc.2019.101198] [Cited by in Crossref: 38] [Cited by in F6Publishing: 9] [Article Influence: 19.0] [Reference Citation Analysis]
5 Remoué A, Conan-Charlet V, Deiana L, Tyulyandina A, Marcorelles P, Schick U, Uguen A. Breast cancer tumor heterogeneity has only little impact on the estimation of the Oncotype DX® recurrence score using Magee Equations and Magee Decision Algorithm™. Hum Pathol 2021;108:51-9. [PMID: 33245987 DOI: 10.1016/j.humpath.2020.11.006] [Reference Citation Analysis]
6 Rahman A, Jahangir C, Lynch SM, Alattar N, Aura C, Russell N, Lanigan F, Gallagher WM. Advances in tissue-based imaging: impact on oncology research and clinical practice. Expert Rev Mol Diagn 2020;20:1027-37. [PMID: 32510287 DOI: 10.1080/14737159.2020.1770599] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Liu D, Wang X, Li L, Jiang Q, Li X, Liu M, Wang W, Shi E, Zhang C, Wang Y, Zhang Y, Wang L. Machine Learning-Based Model for the Prognosis of Postoperative Gastric Cancer. CMAR 2022;Volume 14:135-55. [DOI: 10.2147/cmar.s342352] [Reference Citation Analysis]
8 Echle A, Rindtorff NT, Brinker TJ, Luedde T, Pearson AT, Kather JN. Deep learning in cancer pathology: a new generation of clinical biomarkers. Br J Cancer 2021;124:686-96. [PMID: 33204028 DOI: 10.1038/s41416-020-01122-x] [Cited by in Crossref: 20] [Cited by in F6Publishing: 19] [Article Influence: 10.0] [Reference Citation Analysis]
9 Nguyen HG, Blank A, Dawson HE, Lugli A, Zlobec I. Classification of colorectal tissue images from high throughput tissue microarrays by ensemble deep learning methods. Sci Rep 2021;11:2371. [PMID: 33504830 DOI: 10.1038/s41598-021-81352-y] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Bal A, Das M, Satapathy SM, Jena M, Das SK. BFCNet: a CNN for diagnosis of ductal carcinoma in breast from cytology images. Pattern Anal Applic 2021;24:967-80. [DOI: 10.1007/s10044-021-00962-4] [Reference Citation Analysis]
11 Ghosh A, Sirinukunwattana K, Khalid Alham N, Browning L, Colling R, Protheroe A, Protheroe E, Jones S, Aberdeen A, Rittscher J, Verrill C. The Potential of Artificial Intelligence to Detect Lymphovascular Invasion in Testicular Cancer. Cancers (Basel) 2021;13:1325. [PMID: 33809521 DOI: 10.3390/cancers13061325] [Reference Citation Analysis]
12 Laurinavicius A, Rasmusson A, Plancoulaine B, Shribak M, Levenson R. Machine-Learning-Based Evaluation of Intratumoral Heterogeneity and Tumor-Stroma Interface for Clinical Guidance. Am J Pathol 2021:S0002-9440(21)00165-6. [PMID: 33895120 DOI: 10.1016/j.ajpath.2021.04.008] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
13 Elsharawy KA, Gerds TA, Rakha EA, Dalton LW. Artificial intelligence grading of breast cancer: a promising method to refine prognostic classification for management precision. Histopathology 2021;79:187-99. [PMID: 33590486 DOI: 10.1111/his.14354] [Reference Citation Analysis]
14 Assiri AS, Nazir S, Velastin SA. Breast Tumor Classification Using an Ensemble Machine Learning Method. J Imaging 2020;6:39. [PMID: 34460585 DOI: 10.3390/jimaging6060039] [Cited by in Crossref: 9] [Article Influence: 4.5] [Reference Citation Analysis]
15 Chang MC, Mrkonjic M. Review of the current state of digital image analysis in breast pathology. Breast J 2020;26:1208-12. [PMID: 32342590 DOI: 10.1111/tbj.13858] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
16 Nassif AB, Talib MA, Nasir Q, Afadar Y, Elgendy O. Breast cancer detection using artificial intelligence techniques: A systematic literature review. Artificial Intelligence in Medicine 2022. [DOI: 10.1016/j.artmed.2022.102276] [Reference Citation Analysis]
17 Sobhani F, Robinson R, Hamidinekoo A, Roxanis I, Somaiah N, Yuan Y. Artificial intelligence and digital pathology: Opportunities and implications for immuno-oncology. Biochim Biophys Acta Rev Cancer 2021;1875:188520. [PMID: 33561505 DOI: 10.1016/j.bbcan.2021.188520] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
18 Wu J, Hicks C. Breast Cancer Type Classification Using Machine Learning. J Pers Med 2021;11:61. [PMID: 33498339 DOI: 10.3390/jpm11020061] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 5.0] [Reference Citation Analysis]
19 Moxley-wyles B, Colling R, Verrill C. Artificial intelligence in pathology: an overview. Diagnostic Histopathology 2020;26:513-20. [DOI: 10.1016/j.mpdhp.2020.08.004] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
20 Mentel S, Gallo K, Wagendorf O, Preissner R, Nahles S, Heiland M, Preissner S. Prediction of oral squamous cell carcinoma based on machine learning of breath samples: a prospective controlled study. BMC Oral Health 2021;21:500. [PMID: 34615514 DOI: 10.1186/s12903-021-01862-z] [Reference Citation Analysis]
21 Alves AFF, de Arruda Miranda JR, de Souza SAS, Pereira RV, de Almeida Silvares PR, Yamashita S, Deffune E, de Pina DR. Texture analysis to differentiate anterior cruciate ligament in patients after surgery with platelet-rich plasma. J Orthop Surg Res 2021;16:283. [PMID: 33910605 DOI: 10.1186/s13018-021-02437-y] [Reference Citation Analysis]
22 Roberto GF, Nascimento MZ, Martins AS, Tosta TA, Faria PR, Neves LA. Classification of breast and colorectal tumors based on percolation of color normalized images. Computers & Graphics 2019;84:134-43. [DOI: 10.1016/j.cag.2019.08.008] [Cited by in Crossref: 5] [Cited by in F6Publishing: 1] [Article Influence: 1.7] [Reference Citation Analysis]
23 Aswathy MA, Jagannath M. An SVM approach towards breast cancer classification from H&E-stained histopathology images based on integrated features. Med Biol Eng Comput 2021;59:1773-83. [PMID: 34302269 DOI: 10.1007/s11517-021-02403-0] [Reference Citation Analysis]
24 Huang Y, Zheng S, Lai B. Analysis of the Mechanism of Breast Metastasis Based on Image Recognition and Ultrasound Diagnosis. J Healthc Eng 2021;2021:4452500. [PMID: 34671449 DOI: 10.1155/2021/4452500] [Reference Citation Analysis]
25 Tziraki C, Grimes C, Ventura F, O'Caoimh R, Santana S, Zavagli V, Varani S, Tramontano D, Apóstolo J, Geurden B, De Luca V, Tramontano G, Romano MR, Anastasaki M, Lionis C, Rodríguez-Acuña R, Capelas ML, Dos Santos Afonso T, Molloy DW, Liotta G, Iaccarino G, Triassi M, Eklund P, Roller-Wirnsberger R, Illario M. Rethinking palliative care in a public health context: addressing the needs of persons with non-communicable chronic diseases. Prim Health Care Res Dev 2020;21:e32. [PMID: 32928334 DOI: 10.1017/S1463423620000328] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]