Machine learning-based histopathological features of histological slides and clinical characteristics as a novel prognostic indicator in diffuse large B-cell lymphoma.

Journal: Pathology, research and practice
Published Date: Jun 4, 2025

Abstract

OBJECTIVE: This study developed and validated a deep learning model based on clinical and histopathological features for predicting the outcomes of diffuse large B-cell lymphoma (DLBCL).

Authors

  • Zheng Li
    Department of Integrated Pulmonology, Fourth Clinical Medical College of Xinjiang Medical University, Urumqi, Xinjiang, China.
  • Jiajie Shi
    Department of Breast Surgery, Hebei Medical University Fourth Hospital, Shijiazhuang 050000, China.
  • Xiaolin Wu
    Department of Orthopedics, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao 266003, China.
  • Zhongze Cui
    School of Graduate, Hebei Medical University, Shijiazhuang 050000, China.
  • Beichen Liu
    Department of Hematology, Hebei Medical University Fourth Hospital, Shijiazhuang 050000, China.
  • Yueping Liu
    Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.

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