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A multi-task two-path deep learning system for predicting the invasiveness of craniopharyngioma 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 卷号: 216, 页码: 13
Authors:  Zhu, Lin;  Zhang, Lingling;  Hu, Wenxing;  Chen, Haixu;  Li, Han;  Wei, Shoushui;  Chen, Xuzhu;  Ma, Xibo
Favorite  |  View/Download:36/0  |  Submit date:2022/06/06
Craniopharyngioma  MRI Imaging  Deep learning  Invasiveness diagnosis  Lesion segmentation  
Deep Learning With Data Enhancement for the Differentiation of Solitary and Multiple Cerebral Glioblastoma, Lymphoma, and Tumefactive Demyelinating Lesion 期刊论文
FRONTIERS IN ONCOLOGY, 2021, 卷号: 11, 页码: 9
Authors:  Zhang, Yu;  Liang, Kewei;  He, Jiaqi;  Ma, He;  Chen, Hongyan;  Zheng, Fei;  Zhang, Lingling;  Wang, Xinsheng;  Ma, Xibo;  Chen, Xuzhu
Favorite  |  View/Download:49/0  |  Submit date:2021/11/03
glioblastoma  lymphoma  tumefactive demyelination  differential diagnosis  deep learning  
A deep learning radiomics model for preoperative grading in meningioma 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 116, 页码: 128-134
Authors:  Zhu, Yongbei;  Man, Chuntao;  Gong, Lixin;  Dong, Di;  Yu, Xinyi;  Wang, Shuo;  Fang, Mengjie;  Wang, Siwen;  Fang, Xiangming;  Chen, Xuzhu;  Tian, Jie
Adobe PDF(1336Kb)  |  Favorite  |  View/Download:183/3  |  Submit date:2019/07/11
Radiomics  Deep learning  Meningioma  Tumor grading  Magnetic resonance imaging