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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]
URL: https://www.wjgnet.com/1007-9327/full/v26/i39/5959.htm
Number Citing Articles
1
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 LearningJournal of Medical Systems 2022; 46(1) doi: 10.1007/s10916-021-01782-z
2
Amrit K. Kamboj, Siddharth Agarwal, Prasad G. Iyer. Recent Advances in the Artificial Intelligence–Assisted Detection of Esophageal NeoplasiaCurrent Treatment Options in Gastroenterology 2021; 19(3): 459 doi: 10.1007/s11938-021-00353-y
3
Pierfrancesco Visaggi, Nicola de Bortoli, Brigida Barberio, Vincenzo Savarino, Roberto Oleas, Emma M. Rosi, Santino Marchi, Mentore Ribolsi, Edoardo Savarino. Artificial Intelligence in the Diagnosis of Upper Gastrointestinal DiseasesJournal of Clinical Gastroenterology 2022; 56(1): 23 doi: 10.1097/MCG.0000000000001629
4
Tao Yan, Pak Kin Wong, Ye-Ying Qin. Deep learning for diagnosis of precancerous lesions in upper gastrointestinal endoscopy: A reviewWorld Journal of Gastroenterology 2021; 27(20): 2531-2544 doi: 10.3748/wjg.v27.i20.2531
5
Caroline Gronnier, Denis Collet. New Trends in Esophageal Cancer ManagementCancers 2021; 13(12): 3030 doi: 10.3390/cancers13123030
6
Xiang Lin, Zhang Juxiao, Yin Lu, Ji Wenpei. Multimedia Technology and Enhanced LearningLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2024; 535: 95 doi: 10.1007/978-3-031-50580-5_9
7
Kyoichi Adachi, Yuri Ebisutani, Yuko Matsubara, Eiko Okimoto, Norihisa Ishimura, Shunji Ishihara. Effectiveness of Artificial Intelligence in Screening EsophagogastroduodenoscopyCureus 2025;  doi: 10.7759/cureus.79935
8
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 IntelligenceCancers 2021; 13(13): 3162 doi: 10.3390/cancers13133162
9
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 directionsWorld Journal of Gastrointestinal Oncology 2024; 16(4): 1180-1191 doi: 10.4251/wjgo.v16.i4.1180
10
Thifhelimbilu Luvhengo, Thulo Molefi, Demetra Demetriou, Rodney Hull, Zodwa Dlamini. Artificial Intelligence and Precision Oncology2023; : 49 doi: 10.1007/978-3-031-21506-3_3
11
Vikrant Rai, Joe Abdo, Devendra K. Agrawal. Biomarkers for Early Detection, Prognosis, and Therapeutics of Esophageal CancersInternational Journal of Molecular Sciences 2023; 24(4): 3316 doi: 10.3390/ijms24043316
12
Jun-Qi Zhang, Jun-Jie Mi, Rong Wang. Application of convolutional neural network-based endoscopic imaging in esophageal cancer or high-grade dysplasia: A systematic review and meta-analysisWorld Journal of Gastrointestinal Oncology 2023; 15(11): 1998-2016 doi: 10.4251/wjgo.v15.i11.1998
13
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 imagingBiomedical Optics Express 2023; 14(8): 4383 doi: 10.1364/BOE.492635
14
Hai Yang, Junyang Cao, Juan Wang. Classification of Esophageal Disease Images Based on Deep Fusion Network with Weight Transfer2024 14th International Conference on Software Technology and Engineering (ICSTE) 2024; : 218 doi: 10.1109/ICSTE63875.2024.00045
15
Rhiannon McShane, Swati Arya, Alan J. Stewart, Peter D. Caie, Mark Bates. Prognostic features of the tumour microenvironment in oesophageal adenocarcinomaBiochimica et Biophysica Acta (BBA) - Reviews on Cancer 2021; 1876(2): 188598 doi: 10.1016/j.bbcan.2021.188598
16
Jinzhuang Liao, Xiaoying Li, Yu Gan, Shuangze Han, Pengfei Rong, Wei Wang, Wei Li, Li Zhou. Artificial intelligence assists precision medicine in cancer treatmentFrontiers in Oncology 2023; 12 doi: 10.3389/fonc.2022.998222
17
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 cancerScientific Reports 2023; 13(1) doi: 10.1038/s41598-023-47833-y
18
Jinlin Liu, Min Zhang, Min Zhu, Simin Tan, Xuefeng Luo, Jia Liu, Hai Zeng. Comparative analysis of diagnostic techniques and treatment modalities for early-stage esophageal carcinoma: a comprehensive reviewFrontiers in Oncology 2025; 15 doi: 10.3389/fonc.2025.1650965
19
Tsung-Jung Tsai, Arvind Mukundan, Yu-Sheng Chi, Yu-Ming Tsao, Yao-Kuang Wang, Tsung-Hsien Chen, I-Chen Wu, Chien-Wei Huang, Hsiang-Chen Wang. Intelligent Identification of Early Esophageal Cancer by Band-Selective Hyperspectral ImagingCancers 2022; 14(17): 4292 doi: 10.3390/cancers14174292
20
Si-yan Yan, Xin-yu Fu, Yan Yang, Liu-yi Jia, Jia-wei Liang, Ying-hui Li, Ling-ling Yan, Ying Zhou, Xian-bin Zhou, Shao-wei Li, Xin-li Mao. Artificial intelligence in early screening for esophageal squamous cell carcinomaBest Practice & Research Clinical Gastroenterology 2025; 75: 102004 doi: 10.1016/j.bpg.2025.102004
21
Hongbiao Ma, Longlun Wang, Yilin Chen, Lu Tian. Convolutional neural network-based artificial intelligence for the diagnosis of early esophageal cancer based on endoscopic imagesSaudi Journal of Gastroenterology 2022; 28(5): 332 doi: 10.4103/sjg.sjg_178_22
22
Keyu Chen, Zhiyou Yang, Ma Luo, Wei Liu, Yuhang Zhang, Bing Hu, Xianglei Yuan, Wenyu Chen. Esophageal cancer lesion detection with information preservation for multi-modal diagnostic imagesNeurocomputing 2025; 654: 131317 doi: 10.1016/j.neucom.2025.131317
23
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
24
Himanshu Agrawal, Nikhil Gupta, Himanshu Tanwar, Natasha Panesar. Artificial intelligence in gastrointestinal surgery: A minireview of predictive models and clinical applicationsArtificial Intelligence in Gastroenterology 2025; 6(1): 108198 doi: 10.35712/aig.v6.i1.108198
25
Donghong Zhou. Human-Computer Interaction Interface Design in Intelligent Medical System under the Background of Artificial Intelligence2022 International Conference on Artificial Intelligence and Autonomous Robot Systems (AIARS) 2022; : 10 doi: 10.1109/AIARS57204.2022.00010