Weakly supervised deep learning for diagnosis of multiple vertebral compression fractures in CT.

Journal: European radiology
Published Date: Nov 16, 2023

Abstract

OBJECTIVE: This study aims to develop a weakly supervised deep learning (DL) model for vertebral-level vertebral compression fracture (VCF) classification using image-level labelled data.

Authors

  • Euijoon Choi
    Department of Artificial Intelligence, Yonsei University, Seoul, Republic of Korea.
  • Doohyun Park
    School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea.
  • Geonhui Son
    Medical Artificial Intelligence Lab, School of Electrical and Electronic Engineering, Yonsei University, 50, Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
  • Seongwon Bak
    Vuno Inc., Seoul, Republic of Korea.
  • Taejoon Eo
    School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea.
  • Daemyung Youn
    School of Management of Technology, Yonsei University, Seoul, Republic of Korea.
  • Dosik Hwang
    School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea. dosik.hwang@yonsei.ac.kr.

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