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Sep 21, 2020 (publication date) through Apr 24, 2025
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World Journal of Gastroenterology
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1007-9327
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Zhang YH, Guo LJ, Yuan XL, Hu B. Artificial intelligence-assisted esophageal cancer management: Now and future. World J Gastroenterol 2020; 26(35): 5256-5271 [PMID: 32994686 DOI: 10.3748/wjg.v26.i35.5256] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v26/i35/5256.htm |
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Rua Y. Aburasain. Esophageal Cancer Classification in Initial Stages Using Deep and Transfer Learning. 2024 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET) 2024; : 1 doi: 10.1109/IC_ASET61847.2024.10596188
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Lingyu Wang, Ning Ding, Pengfei Zuo, Xuenan Wang, B Karunakara Rai. Application and Challenges of Artificial Intelligence in Medical Imaging. 2022 International Conference on Knowledge Engineering and Communication Systems (ICKES) 2022; : 1 doi: 10.1109/ICKECS56523.2022.10059898
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Qin Huang, Yuqing Cheng, Edward Lew, Jiong Shi, Daniel Wiener, H. Christian Weber. Patients with esophageal adenocarcinoma showed better prognosis than those with adenocarcinoma of the gastroesophageal junction. Journal of Digestive Diseases 2023; 24(2): 98 doi: 10.1111/1751-2980.13167
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Yu Yang, Yu-Xuan Li, Ren-Qi Yao, Xiao-Hui Du, Chao Ren. Artificial intelligence in small intestinal diseases: Application and prospects. World Journal of Gastroenterology 2021; 27(25): 3734-3747 doi: 10.3748/wjg.v27.i25.3734
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Wei-Chih Liao, Arvind Mukundan, Cleorita Sadiaza, Yu-Ming Tsao, Chien-Wei Huang, Hsiang-Chen Wang. Systematic meta-analysis of computer-aided detection to detect early esophageal cancer using hyperspectral imaging. Biomedical Optics Express 2023; 14(8): 4383 doi: 10.1364/BOE.492635
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