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] |
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URL: | https://www.wjgnet.com/1007-9327/full/v27/i20/2531.htm |
Number | Citing Articles |
1 |
Zihan Nie, Muhao Xu, Zhiyong Wang, Xiaoqi Lu, Weiye Song. A Review of Application of Deep Learning in Endoscopic Image Processing. Journal of Imaging 2024; 10(11): 275 doi: 10.3390/jimaging10110275
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2 |
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 endoscopy. Computers in Biology and Medicine 2022; 143: 105255 doi: 10.1016/j.compbiomed.2022.105255
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3 |
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 Learning. Mathematical Problems in Engineering 2022; 2022: 1 doi: 10.1155/2022/6758684
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4 |
Ke Nie, Ying Xiao. Radiomics in clinical trials: perspectives on standardization. Physics in Medicine & Biology 2023; 68(1): 01TR01 doi: 10.1088/1361-6560/aca388
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5 |
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 minireview. World Journal of Gastroenterology 2022; 28(45): 6363-6379 doi: 10.3748/wjg.v28.i45.6363
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6 |
Songlin Yuan. Visual communication design of web-based learning resources in the digital era. Journal of Intelligent & Fuzzy Systems 2024; 46(3): 6041 doi: 10.3233/JIFS-233944
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7 |
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 Potential. Frontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.773840
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8 |
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 Atrophy. IEEE Journal of Biomedical and Health Informatics 2023; 27(1): 7 doi: 10.1109/JBHI.2022.3217944
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9 |
Huifeng Tong, Hua Zhou, Linlin Shen, Guoqiang Zhong. Study on the classification method of gastrointestinal endoscope image based on CBAM and AlexNet. Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023) 2023; : 117 doi: 10.1117/12.2684345
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10 |
Jack C. Tang, Regina Magalhães, Anna Wisniowiecki, Diego Razura, Clayton Walker, Brian E. Applegate. Biophotonics and Biosensing. 2024; : 285 doi: 10.1016/B978-0-44-318840-4.00017-6
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11 |
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 review. International Journal of Medical Informatics 2022; 157: 104641 doi: 10.1016/j.ijmedinf.2021.104641
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12 |
Erica Park, Makoto Nishimura, Priya Simoes. Endoscopic advances in the management of gastric cancer and premalignant gastric conditions. World Journal of Gastrointestinal Endoscopy 2023; 15(3): 114-121 doi: 10.4253/wjge.v15.i3.114
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13 |
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 diseases. MethodsX 2022; 9: 101925 doi: 10.1016/j.mex.2022.101925
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14 |
Mahsa Dehghan Manshadi, Milad Mousavi, Arian Golzarian, Madjid Soltani, Amir Mosavi. Colorectal Polyp Localization: From Image Restoration to Real-time Detection with Deep Learning. 2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) 2023; : 739 doi: 10.1109/SACI58269.2023.10158661
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15 |
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 learning. Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023) 2023; : 84 doi: 10.1117/12.3011574
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