Integrated local binary pattern texture features for classification of breast tissue imaged by optical coherence microscopy. - Sunhua Wan; Hsiang-Chieh Lee; Xiaolei Huang 001; Ting Xu; Tao Xu; Xianxu Zeng; Zhan Zhang; Yuri Sheikine; James L. Connolly; James G. Fujimoto; Chao Zhou 005 (Medical Image Anal., 2017)

Computer-Aided Diagnosis of Label-Free 3-D Optical Coherence Microscopy Images of Human Cervical Tissue. - Yutao Ma; Tao Xu; Xiaolei Huang 001; Xiaofang Wang; Canyu Li; Jason Jerwick; Yuan Ning; Xianxu Zeng; Baojin Wang; Yihong Wang; Zhan Zhang; Xiaoan Zhang; et al. (IEEE Trans. Biomed. Eng., 2019)

Computer-Aided Diagnosis in Histopathological Images of the Endometrium Using a Convolutional Neural Network and Attention Mechanisms. - Hao Sun; Xianxu Zeng; Tao Xu; Gang Peng 002; Yutao Ma (IEEE J. Biomed. Health Informatics, 2020)

AI Creativity and the Human-AI Co-creation Model. - Zhuohao Wu; Danwen Ji; Kaiwen Yu; Xianxu Zeng; Dingming Wu 001; Mohammad Shidujaman (HCI (1), 2021)

A Semantic Segmentation Network Based Real-Time Computer-Aided Diagnosis System for Hydatidiform Mole Hydrops Lesion Recognition in Microscopic View. - Chengze Zhu; Pingge Hu; Xianxu Zeng; Xingtong Wang; Zehua Ji; Li Shi (CoRR, 2022)

Segmentation Network with Compound Loss Function for Hydatidiform Mole Hydrops Lesion Recognition. - Chengze Zhu; Pingge Hu; Xianxu Zeng; Xingtong Wang; Zehua Ji; Li Shi (CoRR, 2022)

A real-time computer-aided diagnosis method for hydatidiform mole recognition using deep neural network. - Chengze Zhu; Pingge Hu; Xingtong Wang; Xianxu Zeng; Li Shi (Comput. Methods Programs Biomed., 2023)