Intelligent diagnosis of gastric intestinal metaplasia based on convolutional neural network and limited number of endoscopic images. - Tao Yan 006; Pak-Kin Wong 001; I. Cheong Choi; Chi-Man Vong; Hon Ho Yu (Comput. Biol. Medicine, 2020)

A multi-feature fusion method for image recognition of gastrointestinal metaplasia (GIM). - Hongyan Li; Chi-Man Vong; Pak-Kin Wong 001; Weng-Fai Ip; Tao Yan 006; I. Cheong Choi; Hon Ho Yu (Biomed. Signal Process. Control., 2021)

Broad learning system stacking with multi-scale attention for the diagnosis of gastric intestinal metaplasia. - Pak Kin Wong 001; Liang Yao; Tao Yan 006; I. Cheong Choi; Hon Ho Yu; Ying Hu 001 (Biomed. Signal Process. Control., 2022)

Corrigendum to "Broad learning system stacking with multi-scale attention for the diagnosis of gastric intestinal metaplasia" [Biomed. Signal Process. Control 73 (2022) 103476]. - Pak-Kin Wong 001; Liang Yao; Tao Yan 006; I. Cheong Choi; Hon Ho Yu; Ying Hu 001 (Biomed. Signal Process. Control., 2022)

Multi-scale Multi-instance Multi-feature Joint Learning Broad Network (M3JLBN) for gastric intestinal metaplasia subtype classification. - Qi Lai; Chi-Man Vong; Pak-Kin Wong 001; Shitong Wang 001; Tao Yan 006; I. Cheong Choi; Hon Ho Yu (Knowl. Based Syst., 2022)

Diagnosis of Esophageal Lesions by Multi-Classification and Segmentation Using an Improved Multi-Task Deep Learning Model. - Suigu Tang; Xiaoyuan Yu; Chak-Fong Cheang; Zeming Hu; Tong Fang; I. Cheong Choi; Hon Ho Yu (Sensors, 2022)

Multi-Task Model for Esophageal Lesion Analysis Using Endoscopic Images: Classification with Image Retrieval and Segmentation with Attention. - Xiaoyuan Yu; Suigu Tang; Chak-Fong Cheang; Hon Ho Yu; I. Cheong Choi (Sensors, 2022)

CLELNet: A continual learning network for esophageal lesion analysis on endoscopic images. - Suigu Tang; Xiaoyuan Yu; Chak-Fong Cheang; Xiaoyu Ji; Hon Ho Yu; I. Cheong Choi (Comput. Methods Programs Biomed., 2023)

Transformer-based multi-task learning for classification and segmentation of gastrointestinal tract endoscopic images. - Suigu Tang; Xiaoyuan Yu; Chak-Fong Cheang; Yanyan Liang 001; Penghui Zhao; Hon Ho Yu; I. Cheong Choi (Comput. Biol. Medicine, 2023)