CASIA OpenIR

浏览/检索结果: 共3条,第1-3条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
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
作者:  Zhang, Yu;  Liang, Kewei;  He, Jiaqi;  Ma, He;  Chen, Hongyan;  Zheng, Fei;  Zhang, Lingling;  Wang, Xinsheng;  Ma, Xibo;  Chen, Xuzhu
收藏  |  浏览/下载:236/0  |  提交时间:2021/11/03
glioblastoma  lymphoma  tumefactive demyelination  differential diagnosis  deep learning  
Computed Tomography Radiomic Nomogram for Preoperative Prediction of Extrathyroidal Extension in Papillary Thyroid Carcinoma 期刊论文
FRONTIERS IN ONCOLOGY, 2019, 卷号: 9, 页码: 9
作者:  Chen, Bin;  Zhong, Lianzhen;  Dong, Di;  Zheng, Jianjun;  Fang, Mengjie;  Yu, Chunyao;  Dai, Qi;  Zhang, Liwen;  Tian, Jie;  Lu, Wei;  Jin, Yinhua
Adobe PDF(1219Kb)  |  收藏  |  浏览/下载:334/55  |  提交时间:2019/12/16
thyroid cancer  computed tomography  radiomics  tumor staging  nomograms  
Computed Tomography Radiomic Nomogram for Preoperative Prediction of Extrathyroidal Extension in Papillary Thyroid Carcinoma 期刊论文
FRONTIERS IN ONCOLOGY, 2019, 卷号: 9, 页码: 9
作者:  Chen, Bin;  Zhong, Lianzhen;  Dong, Di;  Zheng, Jianjun;  Fang, Mengjie;  Yu, Chunyao;  Dai, Qi;  Zhang, Liwen;  Tian, Jie;  Lu, Wei;  Jin, Yinhua
收藏  |  浏览/下载:315/0  |  提交时间:2019/12/16
thyroid cancer  computed tomography  radiomics  tumor staging  nomograms