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SaveMACHINE LEARNING, COMPUTATIONAL PATHOLOGY, AND BIOPHYSICAL IMAGING Multi-Class Segmentation Network Based on Tumor Tissue in Endometrial Cancer Pathology Images ECMTrans-net
Yang, T; Li, P; Liu, B; Lv, YC; Fan, DG; Fan, YL; Liu, PZ; Ni, YP Share Save Share Save Classification and diagnosis of cervical lesions based on colposcopy images using deep fully convolutional networks: A man-machine comparison cohort studyDong, Binhua; Xue, Huifeng; Li, Ye; Li, Ping; Chen, Jiancui; Zhang, Tao; Chen, Lihua; Pan, Diling; Liu, Peizhong; Sun, Pengming Share Save ECMS-NET:A multi-task model for early endometrial cancer MRI sequences classification and segmentation of key tumor structuresFeng, Longxiang; Chen, Chunxia; Wang, Lin; Zhang, Jiansong; Li, Yapeng; Yang, Tiantian; Fan, Yuling; Liu, Peizhong; Sun, Pengming; Huang, Fang Share Save Share Save Share Save CTIFI: Clinical-experience-guided three-vision images features integration for diagnosis of cervical lesionsXu, Tianxiang; Liu, Peizhong; Wang, Xiaoxia; Li, Ping; Xue, Huifeng; Jin, Wenfang; Shen, Jun; Guo, JingMing; Dong, Binhua; Sun, Pengming Share Save Share Save Detection of cervical lesions in colposcopic images based on the RetinaNet methodChen, Jiancui; Li, Ping; Xu, Tianxiang; Xue, Huifeng; Wang, Xiaoxia; Li, Ye; Lin, Hao; Liu, Peizhong; Dong, Binhua; Sun, Pengming Share Save Share Save Share Save Share Save Recent Progress in the Development of Graphene Detector for Terahertz DetectionLiu, Jianlong; Li, Xin; Jiang, Ruirui; Yang, Kaiqiang; Zhao, Jing; Khan, Sayed Ali; He, Jiancheng; Liu, Peizhong; Zhu, Jinfeng; Zeng, Baoqing Share Save Share Save Share Save Share Save Share Save Share Save Share Save 
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