A radiograph-based deep learning model improves radiologists' performance for classification of histological types of primary bone tumors: A multicenter study.

Journal: European journal of radiology
Published Date:

Abstract

PURPOSE: To develop a deep learning (DL) model for classifying histological types of primary bone tumors (PBTs) using radiographs and evaluate its clinical utility in assisting radiologists.

Authors

  • Zhuoyao Xie
    Department of Radiology, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics, Guangdong Province), Guangzhou, Guangdong, China.
  • Huanmiao Zhao
    Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, 1023 Shatai Road, Baiyun District, Guangzhou, 510515, Guangdong, China. Electronic address: sophiababy918@163.com.
  • Liwen Song
    Department of Radiology, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics, Guangdong Province), Guangzhou, Guangdong, China.
  • Qiang Ye
    Department of Mathematics, Departments of Computer Science and Internal Medicine University of Kentucky, Lexington, Kentucky 40506-0027.
  • Liming Zhong
    Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
  • Shisi Li
    Department of Radiology, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics, Guangdong Province), 183 Zhongshan Da Dao Xi, Guangzhou, Guangdong, 510630, China. Electronic address: lisisi1217@126.com.
  • Rui Zhang
    Department of Cardiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China.
  • Menghong Wang
    Department of Radiology, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics, Guangdong Province), Guangzhou, Guangdong, China.
  • Xiaqing Chen
    Department of Radiology, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics, Guangdong Province), 183 Zhongshan Da Dao Xi, Guangzhou, Guangdong, 510630, China. Electronic address: 2856175192@qq.com.
  • Zixiao Lu
    School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China.
  • Wei Yang
    Key Laboratory of Structure-Based Drug Design and Discovery (Shenyang Pharmaceutical University), Ministry of Education, School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Wenhua Road 103, Shenyang 110016, PR China. Electronic address: 421063202@qq.com.
  • Yinghua Zhao
    Department of Radiology, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics, Guangdong Province), Guangzhou, Guangdong, China. zyh7258957@163.com.