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Cited by in CrossRef
For: Liang F, Wang S, Zhang K, Liu TJ, Li JN. Development of artificial intelligence technology in diagnosis, treatment, and prognosis of colorectal cancer. World J Gastrointest Oncol 2022; 14(1): 124-152 [PMID: 35116107 DOI: 10.4251/wjgo.v14.i1.124]
URL: https://www.wjgnet.com/1007-9327/full/v14/i1/124.htm
Number Citing Articles
1
Zhiyang Xu, Yanzi Miao, Guangxia Chen, Shiyu Liu, Hu Chen. GLGFormer: Global Local Guidance Network for Mucosal Lesion Segmentation in Gastrointestinal Endoscopy ImagesJournal of Imaging Informatics in Medicine 2024;  doi: 10.1007/s10278-024-01162-2
2
Jie Lei, YiJun Huang, YangLin Chen, Linglin Xia, Bo Yi. The effect of the re-segmentation method on improving the performance of rectal cancer image segmentation modelsTechnology and Health Care 2024; 32(3): 1629 doi: 10.3233/THC-230690
3
Xing-Liang Pan, Bo Hua, Ke Tong, Xia Li, Jin-Long Luo, Hua Yang, Ju-Rong Ding. EL-CNN: An enhanced lightweight classification method for colorectal cancer histopathological imagesBiomedical Signal Processing and Control 2025; 100: 106933 doi: 10.1016/j.bspc.2024.106933
4
Jue Hou, Rachel Zhao, Jessica Gronsbell, Yucong Lin, Clara-Lea Bonzel, Qingyi Zeng, Sinian Zhang, Brett K Beaulieu-Jones, Griffin M Weber, Thomas Jemielita, Shuyan Sabrina Wan, Chuan Hong, Tianrun Cai, Jun Wen, Vidul Ayakulangara Panickan, Kai-Li Liaw, Katherine Liao, Tianxi Cai. Generate Analysis-Ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records With Advanced Informatic TechnologiesJournal of Medical Internet Research 2023; 25: e45662 doi: 10.2196/45662
5
Christos B. Zachariadis, Helen C. Leligou. Harnessing Artificial Intelligence for Automated DiagnosisInformation 2024; 15(6): 311 doi: 10.3390/info15060311
6
Jirong Zhang, Jimei Zhang, Juan Jin, Xicheng Jiang, Linlin Yang, Shiqi Fan, Qiao Zhang, Ming Chi. Artificial intelligence applied in cardiovascular disease: a bibliometric and visual analysisFrontiers in Cardiovascular Medicine 2024; 11 doi: 10.3389/fcvm.2024.1323918
7
Arian Mansur, Zain Saleem, Tarig Elhakim, Dania Daye. Role of artificial intelligence in risk prediction, prognostication, and therapy response assessment in colorectal cancer: current state and future directionsFrontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1065402
8
Na Lu, Xiao Guan, Jianguo Zhu, Yuan Li, Jianping Zhang. A Contrast-Enhanced CT-Based Deep Learning System for Preoperative Prediction of Colorectal Cancer Staging and RAS MutationCancers 2023; 15(18): 4497 doi: 10.3390/cancers15184497
9
Joel H. Bortz, Hesta Friedrich-Nel. CT Colonography for Radiographers2023; : 209 doi: 10.1007/978-3-031-30866-6_15
10
Jothiraj Selvaraj, A. K. Jayanthy. Design and development of artificial intelligence‐based application programming interface for early detection and diagnosis of colorectal cancer from wireless capsule endoscopy imagesInternational Journal of Imaging Systems and Technology 2024; 34(2) doi: 10.1002/ima.23034
11
Ryota Nakanishi, Ken’ichi Morooka, Kazuki Omori, Satoshi Toyota, Yasushi Tanaka, Hirofumi Hasuda, Naomichi Koga, Kentaro Nonaka, Qingjiang Hu, Yu Nakaji, Tomonori Nakanoko, Koji Ando, Mitsuhiko Ota, Yasue Kimura, Eiji Oki, Yoshinao Oda, Tomoharu Yoshizumi. Artificial Intelligence-Based Prediction of Recurrence after Curative Resection for Colorectal Cancer from Digital Pathological ImagesAnnals of Surgical Oncology 2023; 30(6): 3506 doi: 10.1245/s10434-022-12926-x
12
Balamurugan Balusamy, Rajesh Kumar Dhanaraj, Tamizharasi Seetharaman, Vandana Sharma, Achyut Shankar, Wattana Viriyasitavat. Design control and management of intelligent and autonomous nanorobots with artificial intelligence for Prevention and monitoring of blood related diseasesEngineering Applications of Artificial Intelligence 2024; 131: 107798 doi: 10.1016/j.engappai.2023.107798
13
Bernardo Pereira Cabral, Luiza Amara Maciel Braga, Shabbir Syed-Abdul, Fabio Batista Mota. Future of Artificial Intelligence Applications in Cancer Care: A Global Cross-Sectional Survey of ResearchersCurrent Oncology 2023; 30(3): 3432 doi: 10.3390/curroncol30030260
14
Zugang Yin, Chenhui Yao, Limin Zhang, Shaohua Qi. Application of artificial intelligence in diagnosis and treatment of colorectal cancer: A novel ProspectFrontiers in Medicine 2023; 10 doi: 10.3389/fmed.2023.1128084
15
Sayan Saha, Shreya Ghosh, Suman Ghosh, Sumit Nandi, Aditi Nayak. Unraveling the complexities of colorectal cancer and its promising therapies – An updated reviewInternational Immunopharmacology 2024; 143: 113325 doi: 10.1016/j.intimp.2024.113325
16
Shi-yi Qi, Si-jia Zhang, Li-li Lin, Yu-rong Li, Jian-guo Chen, You-cong Ni, Xin Du, Jie Zhang, Pin Ge, Gui-hua Liu, Jiang-yun Wu, Shen Lin, Meng Gong, Jin-wen Lin, Lan-fang Chen, Ling-ling He, Dong Lin. Quantifying attention in children with intellectual and developmental disabilities through multicenter electrooculogram signal analysisScientific Reports 2024; 14(1) doi: 10.1038/s41598-024-70304-x
17
Olabode Gbobaniyi, Daniela Tincani, Peter Emelone. Impact of AI and Robotics on the Medical Tourism IndustryAdvances in Hospitality, Tourism, and the Services Industry 2024; : 99 doi: 10.4018/979-8-3693-2248-2.ch005
18
K. G. Suma, Gurram Sunitha, Mohammad Gouse Galety. Machine Learning Algorithms Using Scikit and TensorFlow EnvironmentsAdvances in Systems Analysis, Software Engineering, and High Performance Computing 2023; : 276 doi: 10.4018/978-1-6684-8531-6.ch014
19
Shuo Gao, Hao Zhang, Linbin Lai, Menglei Xu, Hong Yu, Airong Qian, Wenjuan Zhang. Bone Cell Biomechanics, Mechanobiology and Bone Diseases2024; : 355 doi: 10.1016/B978-0-323-96123-3.00014-2