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Oct 21, 2020 (publication date) through Jan 13, 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: | Huang LM, Yang WJ, Huang ZY, Tang CW, Li J. Artificial intelligence technique in detection of early esophageal cancer. World J Gastroenterol 2020; 26(39): 5959-5969 [PMID: 33132647 DOI: 10.3748/wjg.v26.i39.5959] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v26/i39/5959.htm |
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Wenju Du, Nini Rao, Jiahao Yong, Yingchun Wang, Dingcan Hu, Tao Gan, Linlin Zhu, Bing Zeng. Improving the Classification Performance of Esophageal Disease on Small Dataset by Semi-supervised Efficient Contrastive Learning. Journal of Medical Systems 2022; 46(1) doi: 10.1007/s10916-021-01782-z
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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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Amrit K. Kamboj, Siddharth Agarwal, Prasad G. Iyer. Recent Advances in the Artificial Intelligence–Assisted Detection of Esophageal Neoplasia. Current Treatment Options in Gastroenterology 2021; 19(3): 459 doi: 10.1007/s11938-021-00353-y
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Rhiannon McShane, Swati Arya, Alan J. Stewart, Peter D. Caie, Mark Bates. Prognostic features of the tumour microenvironment in oesophageal adenocarcinoma. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer 2021; 1876(2): 188598 doi: 10.1016/j.bbcan.2021.188598
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Kai-Yao Yang, Arvind Mukundan, Yu-Ming Tsao, Xian-Hong Shi, Chien-Wei Huang, Hsiang-Chen Wang. Assessment of hyperspectral imaging and CycleGAN-simulated narrowband techniques to detect early esophageal cancer. Scientific Reports 2023; 13(1) doi: 10.1038/s41598-023-47833-y
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Hongbiao Ma, Longlun Wang, Yilin Chen, Lu Tian. Convolutional neural network-based artificial intelligence for the diagnosis of early esophageal cancer based on endoscopic images. Saudi Journal of Gastroenterology 2022; 28(5): 332 doi: 10.4103/sjg.sjg_178_22
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Tao Yan, Pak Kin Wong, Ye-Ying Qin. Deep learning for diagnosis of precancerous lesions in upper gastrointestinal endoscopy: A review. World Journal of Gastroenterology 2021; 27(20): 2531-2544 doi: 10.3748/wjg.v27.i20.2531
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Caroline Gronnier, Denis Collet. New Trends in Esophageal Cancer Management. Cancers 2021; 13(12): 3030 doi: 10.3390/cancers13123030
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Karen E. Villagrana-Bañuelos, Vanessa Alcalá-Rmz, José M. Celaya-Padilla, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, Carlos E. Galván-Tejada. Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022). Lecture Notes in Networks and Systems 2023; 594: 169 doi: 10.1007/978-3-031-21333-5_17
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Pierfrancesco Visaggi, Brigida Barberio, Matteo Ghisa, Mentore Ribolsi, Vincenzo Savarino, Matteo Fassan, Michele Valmasoni, Santino Marchi, Nicola de Bortoli, Edoardo Savarino. Modern Diagnosis of Early Esophageal Cancer: From Blood Biomarkers to Advanced Endoscopy and Artificial Intelligence. Cancers 2021; 13(13): 3162 doi: 10.3390/cancers13133162
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Hong-Tao Qu, Qing Li, Liang Hao, Yan-Jing Ni, Wen-Yu Luan, Zhe Yang, Xiao-Dong Chen, Tong-Tong Zhang, Yan-Dong Miao, Fang Zhang. Esophageal cancer screening, early detection and treatment: Current insights and future directions. World Journal of Gastrointestinal Oncology 2024; 16(4): 1180-1191 doi: 10.4251/wjgo.v16.i4.1180
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| 16 |
Donghong Zhou. Human-Computer Interaction Interface Design in Intelligent Medical System under the Background of Artificial Intelligence. 2022 International Conference on Artificial Intelligence and Autonomous Robot Systems (AIARS) 2022; : 10 doi: 10.1109/AIARS57204.2022.00010
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