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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
1
Tao Yu, Ne Lin, Xingwei Zhong, Xiaoyan Zhang, Xinsen Zhang, Yihe Chen, Jiquan Liu, Weiling Hu, Huilong Duan, Jianmin Si. Multi-label recognition of cancer-related lesions with clinical priors on white-light endoscopyComputers in Biology and Medicine 2022; 143: 105255 doi: 10.1016/j.compbiomed.2022.105255
2
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
3
Ke Nie, Ying Xiao. Radiomics in clinical trials: perspectives on standardizationPhysics in Medicine & Biology 2023; 68(1): 01TR01 doi: 10.1088/1361-6560/aca388
4
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
5
Songlin Yuan. Visual communication design of web-based learning resources in the digital eraJournal of Intelligent & Fuzzy Systems 2024; 46(3): 6041 doi: 10.3233/JIFS-233944
6
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
7
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
8
Huifeng Tong, Hua Zhou, Linlin Shen, Guoqiang Zhong. Study on the classification method of gastrointestinal endoscope image based on CBAM and AlexNetThird International Conference on Computer Vision and Pattern Analysis (ICCPA 2023) 2023; : 117 doi: 10.1117/12.2684345
9
Jack C. Tang, Regina Magalhães, Anna Wisniowiecki, Diego Razura, Clayton Walker, Brian E. Applegate. Biophotonics and Biosensing2024; : 285 doi: 10.1016/B978-0-44-318840-4.00017-6
10
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
11
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
12
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
13
Mahsa Dehghan Manshadi, Milad Mousavi, Arian Golzarian, Madjid Soltani, Amir Mosavi. Colorectal Polyp Localization: From Image Restoration to Real-time Detection with Deep Learning2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) 2023; : 739 doi: 10.1109/SACI58269.2023.10158661
14
Zixian Dong, Jin Pang, Wei Hu, Yating Gao, Jinmeng Zhao, Xinyu Liu, Yanan Sun, Bin Jiang. Database security intrusion behavior identification method based on mapping deep learningThird International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023) 2023; : 84 doi: 10.1117/12.3011574