中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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  • 自动化研究所 [5]
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Development of a Deep Learning Model to Identify Lymph Node Metastasis on Magnetic Resonance Imaging in Patients With Cervical Cancer 期刊论文  OAI收割
JAMA NETWORK OPEN, 2020, 卷号: 3, 期号: 7, 页码: 13
作者:  
Wu, Qingxia;  Wang, Shuo;  Zhang, Shuixing;  Wang, Meiyun;  Ding, Yingying
  |  收藏  |  浏览/下载:19/0  |  提交时间:2020/09/07
Radiomics analysis of placenta on T2WI facilitates prediction of postpartum haemorrhage: A multicentre study (vol 50, pg 355, 2019) 期刊论文  OAI收割
EBIOMEDICINE, 2020, 卷号: 55, 页码: 1
作者:  
Wu, Qingxia;  Yao, Kuan;  Liu, Zhenyu;  Li, Longfei
  |  收藏  |  浏览/下载:26/0  |  提交时间:2020/06/22
Radiomics analysis of placenta on T2WI facilitates prediction of postpartum haemorrhage: A multicentre study 期刊论文  OAI收割
EBIOMEDICINE, 2019, 卷号: 50, 页码: 355-365
作者:  
Wu, Qingxia;  Yao, Kuan;  Liu, Zhenyu;  Li, Longfei;  Zhao, Xin
  |  收藏  |  浏览/下载:47/0  |  提交时间:2020/03/30
Radiomics analysis of magnetic resonance imaging improves diagnostic performance of lymph node metastasis in patients with cervical cancer 期刊论文  OAI收割
RADIOTHERAPY AND ONCOLOGY, 2019, 卷号: 138, 页码: 141-148
作者:  
Wu, Qingxia;  Wang, Shuo;  Chen, Xi;  Wang, Yan;  Dong, Li
  |  收藏  |  浏览/下载:52/0  |  提交时间:2019/12/16
Radiomics Analysis on T2-MR Image to Predict Lymphovascular Space Invasion in Cervical Cancer 会议论文  OAI收割
San Diego, USA, 2019-2
作者:  
Wang, Shuo;  Chen, Xi;  Liu, Zhenyu;  Wu, Qingxia;  Zhu, Yongbei
  |  收藏  |  浏览/下载:85/0  |  提交时间:2019/04/30