A deep learning model combining circulating tumor cells and radiological features in the multi-classification of mediastinal lesions in comparison with thoracic surgeons: a large-scale retrospective study.

Journal: BMC medicine
PMID: 40335930

Abstract

BACKGROUND: CT images and circulating tumor cells (CTCs) are indispensable for diagnosing the mediastinal lesions by providing radiological and intra-tumoral information. This study aimed to develop and validate a deep multimodal fusion network (DMFN) combining CTCs and CT images for the multi-classification of mediastinal lesions.

Authors

  • Feng Wang
    Department of Oncology, Binzhou Medical University Hospital, Binzhou, Shandong, China.
  • Minwei Bao
    Department of Thoracic Surgery, School of Medicine, Shanghai Pulmonary Hospital, Tongji University, 507 Zhengmin Road, Shanghai, 200433, China.
  • Bo Tao
    Department of Radiology, the Center for Medical Imaging, West China Hospital of Sichuan University, China.
  • Fugui Yang
    Department of Thoracic Surgery, School of Medicine, Shanghai East Hospital, Tongji University, 1800 Yuntai Road, Shanghai, 200123, China.
  • Guangxue Wang
    Research Center for Translational Medicine, School of Medicine, Shanghai East Hospital, Tongji University, 150 Jimo Road, Shanghai, 200120, China.
  • Lei Zhu
    School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan, China.

Keywords

External Resources

Popular Topics
Recent Journals