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收藏MACHINE LEARNING, COMPUTATIONAL PATHOLOGY, AND BIOPHYSICAL IMAGING Multi-Class Segmentation Network Based on Tumor Tissue in Endometrial Cancer Pathology Images ECMTrans-net机器学习、计算病理学与生物物理成像
基于子宫内膜癌病理图像中肿瘤组织的多类分割网络 ECMTrans-net
Yang, T; Li, P; Liu, B; Lv, YC; Fan, DG; Fan, YL; Liu, PZ; Ni, YP
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收藏Classification and diagnosis of cervical lesions based on colposcopy images using deep fully convolutional networks: A man-machine comparison cohort study
Dong, Binhua; Xue, Huifeng; Li, Ye; Li, Ping; Chen, Jiancui; Zhang, Tao; Chen, Lihua; Pan, Diling; Liu, Peizhong; Sun, Pengming
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收藏ECMS-NET:A multi-task model for early endometrial cancer MRI sequences classification and segmentation of key tumor structures
Feng, Longxiang; Chen, Chunxia; Wang, Lin; Zhang, Jiansong; Li, Yapeng; Yang, Tiantian; Fan, Yuling; Liu, Peizhong; Sun, Pengming; Huang, Fang
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收藏CTIFI: Clinical-experience-guided three-vision images features integration for diagnosis of cervical lesions
Xu, Tianxiang; Liu, Peizhong; Wang, Xiaoxia; Li, Ping; Xue, Huifeng; Jin, Wenfang; Shen, Jun; Guo, JingMing; Dong, Binhua; Sun, Pengming
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收藏Detection of cervical lesions in colposcopic images based on the RetinaNet method
Chen, Jiancui; Li, Ping; Xu, Tianxiang; Xue, Huifeng; Wang, Xiaoxia; Li, Ye; Lin, Hao; Liu, Peizhong; Dong, Binhua; Sun, Pengming
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收藏Recent Progress in the Development of Graphene Detector for Terahertz Detection
Liu, Jianlong; Li, Xin; Jiang, Ruirui; Yang, Kaiqiang; Zhao, Jing; Khan, Sayed Ali; He, Jiancheng; Liu, Peizhong; Zhu, Jinfeng; Zeng, Baoqing
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