The value of CT radiomics combined with deep transfer learning in predicting the nature of gallbladder polypoid lesions.

Journal: Acta radiologica (Stockholm, Sweden : 1987)
PMID: 38623640

Abstract

BACKGROUND: Computed tomography (CT) radiomics combined with deep transfer learning was used to identify cholesterol and adenomatous gallbladder polyps that have not been well evaluated before surgery.

Authors

  • Shengnan Yin
    Department of Radiology, Suzhou Ninth People's Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, PR China.
  • Ning Ding
    Graduate School of Global Convergence, Kangwon National University, Chuncheon-si, Kangwon Province, 24341, Republic of Korea.
  • Yiding Ji
    Department of Radiology, Suzhou Ninth People's Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, PR China.
  • Zhenguo Qiao
    Department of Gastroenterology, Suzhou Ninth People's Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, PR China.
  • Jianmao Yuan
    Department of General Surgery, Suzhou Ninth People's Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, PR China.
  • Jing Chi
    Department of Marine Technology, Ocean University of China, Qingdao 266100, China.
  • Long Jin

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