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Cited by in CrossRef
For: Yan T, Wong PK, Qin YY. Deep learning for diagnosis of precancerous lesions in upper gastrointestinal endoscopy: A review. World J Gastroenterol 2021; 27(20): 2531-2544 [PMID: 34092974 DOI: 10.3748/wjg.v27.i20.2531]
URL: https://www.wjgnet.com/1007-9327/full/v27/i20/2531.htm
Number Citing Articles
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Jiwen Wang, Binghui Wu, Yun Jiang, Yidan Yuan, Man Fai Leung. Research on Prediction of Physical Fitness Test Results in Colleges and Universities Based on Deep LearningMathematical Problems in Engineering 2022; 2022: 1 doi: 10.1155/2022/6758684
Ke Nie, Ying Xiao. Radiomics in clinical trials: perspectives on standardizationPhysics in Medicine & Biology 2023; 68(1): 01TR01 doi: 10.1088/1361-6560/aca388
Pak Kin Wong, In Neng Chan, Hao-Ming Yan, Shan Gao, Chi Hong Wong, Tao Yan, Liang Yao, Ying Hu, Zhong-Ren Wang, Hon Ho Yu. Deep learning based radiomics for gastrointestinal cancer diagnosis and treatment: A minireviewWorld Journal of Gastroenterology 2022; 28(45): 6363-6379 doi: 10.3748/wjg.v28.i45.6363
You Zhou, Yu-tong Ge, Xiao-lei Shi, Ke-yan Wu, Wei-wei Chen, Yan-bing Ding, Wei-ming Xiao, Dan Wang, Guo-tao Lu, Liang-hao Hu. Machine learning predictive models for acute pancreatitis: A systematic reviewInternational Journal of Medical Informatics 2022; 157: 104641 doi: 10.1016/j.ijmedinf.2021.104641
Xingping Zhang, Yanchun Zhang, Guijuan Zhang, Xingting Qiu, Wenjun Tan, Xiaoxia Yin, Liefa Liao. Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and PotentialFrontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.773840
Erica Park, Makoto Nishimura, Priya Simoes. Endoscopic advances in the management of gastric cancer and premalignant gastric conditionsWorld Journal of Gastrointestinal Endoscopy 2023; 15(3): 114-121 doi: 10.4253/wjge.v15.i3.114
Jie Yang, Yan Ou, Zhiqian Chen, Juan Liao, Wenjian Sun, Yang Luo, Chunbo Luo. A Benchmark Dataset of Endoscopic Images and Novel Deep Learning Method to Detect Intestinal Metaplasia and Gastritis AtrophyIEEE Journal of Biomedical and Health Informatics 2023; 27(1): 7 doi: 10.1109/JBHI.2022.3217944
Francis Jesmar P. Montalbo. Fusing compressed deep ConvNets with a self-normalizing residual block and alpha dropout for a cost-efficient classification and diagnosis of gastrointestinal tract diseasesMethodsX 2022; 9: 101925 doi: 10.1016/j.mex.2022.101925