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Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer 期刊论文
Radiotherapy and Oncology, 2018, 期号: 132, 页码: 171-177
作者:  Wang, Shuo;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bai, Yan;  Wei, Wei;  Wei, Wei;  Wang, Meiyun;  Guo, Yingkun;  Tian, Jie
Adobe PDF(1623Kb)  |  收藏  |  浏览/下载：453/118  |  提交时间：2019/04/30
Deep Learning  High-grade Serous Ovarian Cancer  Recurrence  Prognosis  Computed Tomography  Artificial Intelligence  Semi-supervised Learning  Auto Encoder  Unsupervised Learning  
Non-invasive radiomics approach potentially predicts non-functioning pituitary adenomas subtypes before surgery 期刊论文
EUROPEAN RADIOLOGY, EUROPEAN RADIOLOGY, 2018, 2018, 卷号: 28, 28, 期号: 9, 页码: 3692-3701, 3692-3701
作者:  Zhang, Shuaitong;  Song, Guidong;  Zang, Yali;  Jia, Jian;  Wang, Chao;  Li, Chuzhong;  Tian, Jie;  Dong, Di;  Zhang, Yazhuo
Adobe PDF(1222Kb)  |  收藏  |  浏览/下载：351/70  |  提交时间：2018/10/10
Non-functioning Pituitary Adenomas  Null Cell Adenomas  Radiomics  Support Vector Machine  Nomograms  Non-functioning Pituitary Adenomas  Null Cell Adenomas  Radiomics  Support Vector Machine  Nomograms