Clinical and Translational Medicine (Jul 2022)
Development of a deep learning‐based nomogram for predicting lymph node metastasis in cervical cancer: A multicenter study
- Yujia Liu,
- Hui Duan,
- Di Dong,
- Jiaming Chen,
- Lianzhen Zhong,
- Liwen Zhang,
- Runnan Cao,
- Huijian Fan,
- Zhumei Cui,
- Ping Liu,
- Shan Kang,
- Xuemei Zhan,
- Shaoguang Wang,
- Xun Zhao,
- Chunlin Chen,
- Jie Tian
Affiliations
- Yujia Liu
- School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China
- Hui Duan
- Department of Obstetrics and Gynecology, Nanfang Hospital Southern Medical University Guangzhou China
- Di Dong
- School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China
- Jiaming Chen
- Department of Obstetrics and Gynecology, Nanfang Hospital Southern Medical University Guangzhou China
- Lianzhen Zhong
- School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China
- Liwen Zhang
- School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China
- Runnan Cao
- School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China
- Huijian Fan
- Department of Obstetrics and Gynecology, Nanfang Hospital Southern Medical University Guangzhou China
- Zhumei Cui
- The affiliated hospital of Qingdao University Qingdao China
- Ping Liu
- Department of Obstetrics and Gynecology, Nanfang Hospital Southern Medical University Guangzhou China
- Shan Kang
- Department of Gynecology Fourth Hospital Hebei Medical University Shijiazhuang China
- Xuemei Zhan
- Jiangmen central Hospital Jiangmen China
- Shaoguang Wang
- Department of Gynecology Yantai Yuhuangding Hospital Yantai China
- Xun Zhao
- School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China
- Chunlin Chen
- Department of Obstetrics and Gynecology, Nanfang Hospital Southern Medical University Guangzhou China
- Jie Tian
- CAS Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation Chinese Academy of Sciences Beijing China
- DOI
- https://doi.org/10.1002/ctm2.938
- Journal volume & issue
-
Vol. 12,
no. 7
pp. n/a – n/a
Abstract
No abstracts available.
