Risk stratification of gallbladder masses by machine learning-based ultrasound radiomics models: a prospective and multi-institutional study.

Bibliographic Details
Published in:European Radiology Vol. 33; no. 12; pp. 8899 - 8912
Main Authors: Wang, Li-Fan, Wang, Qiao, Mao, Feng, Xu, Shi-Hao, Sun, Li-Ping, Wu, Ting-Fan, Zhou, Bo-Yang, Yin, Hao-Hao, Shi, Hui, Zhang, Ya-Qin, Li, Xiao-Long, Sun, Yi-Kang, Lu, Dan, Tang, Cong-Yu, Yuan, Hai-Xia, Zhao, Chong-Ke, Xu, Hui-Xiong
Format: Journal Article
Published: Springer Nature Dec2023
Online Access:View this record in EBSCOhost
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      pub: Springer Nature
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        atl: Risk stratification of gallbladder masses by machine learning-based ultrasound radiomics models: a prospective and multi-institutional study.
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          Wang, Li-Fan
          Wang, Qiao
          Mao, Feng
          Xu, Shi-Hao
          Sun, Li-Ping
          Wu, Ting-Fan
          Zhou, Bo-Yang
          Yin, Hao-Hao
          Shi, Hui
          Zhang, Ya-Qin
          Li, Xiao-Long
          Sun, Yi-Kang
          Lu, Dan
          Tang, Cong-Yu
          Yuan, Hai-Xia
          Zhao, Chong-Ke
          Xu, Hui-Xiong
        affil: Department of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Zhongshan Hospital, Fudan University, Shanghai, China
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      pubtype: Academic Journal
      doctype: Journal Article
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    language: English
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