Ranking attention multiple instance learning for lymph node metastasis prediction on multicenter cervical cancer MRI.

Journal: Journal of applied clinical medical physics
PMID: 39369718

Abstract

PURPOSE: In the current clinical diagnostic process, the gold standard for lymph node metastasis (LNM) diagnosis is histopathological examination following surgical lymphadenectomy. Developing a non-invasive and preoperative method for predicting LNM is necessary and holds significant clinical importance.

Authors

  • Shan Jin
    Zhejiang Topcheer Information Technology Co., Ltd, China.
  • Hongming Xu
  • Yue Dong
    Department of Anesthesiology, Mayo Clinic College of Medicine, Rochester, MN, United States.
  • XiaoFeng Wang
    Indiana University Bloomington.
  • Xinyu Hao
  • Fengying Qin
    Cancer Hospital of Dalian University of Technology, Dalian University of Technology, Shenyang, China.
  • Ranran Wang
    Cancer Hospital of Dalian University of Technology, Dalian University of Technology, Shenyang, China.
  • Fengyu Cong
    School of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, 116024, Dalian, China; Faculty of Information Technology, University of Jyväskylä, 40014, Jyväskylä, Finland; School of Artificial Intelligence, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, 116024, Dalian, China; Key Laboratory of Integrated Circuit and Biomedical Electronic System, Liaoning Province. Dalian University of Technology, 116024, Dalian, China.

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