Multimodal deep learning improving the accuracy of pathological diagnoses for membranous nephropathy.

Journal: Renal failure
Published Date: Jul 14, 2025

Abstract

OBJECTIVES: Renal biopsy is the gold standard for the diagnosis of glomerular diseases including membranous nephropathy (MN), however, it faces challenges in accuracy, objectivity, and reproducibility of tissue evaluation. This study aims to develop a multimodal pathological diagnosis system to assist pathologists in diagnosing MN in morphology.

Authors

  • Xiuxiu Hu
    Department of Pathology, School of Medicine, Southeast University, Nanjing, China.
  • Jinyue Yang
    School of Automation, Southeast University, Nanjing, China.
  • Yiping Li
    Department of Pathology, School of Medicine, Southeast University, Nanjing, China.
  • Yuxiang Gong
    Department of Nephrology, Zhongda Hospital, Southeast University, Nanjing, China.
  • Haifeng Ni
    Department of Nephrology, Zhongda Hospital, Southeast University, Nanjing, China.
  • Qing Wei
    Department of Computer Science and Department of Biological Science, Purdue University, West Lafayette, IN 47907, USA.
  • Minyu Yang
    Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, China.
  • Yu Zhang
    College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
  • Jing Huang
    Department of Nephrology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
  • Cao Ma
    Department of Pathology, School of Medicine, Southeast University, Nanjing, China.
  • Bizhen Wei
    Department of Pathology, School of Medicine, Southeast University, Nanjing, China.
  • Kaijie Yu
    Department of Pathology, School of Medicine, Southeast University, Nanjing, China.
  • Jiayun Xu
    Department of Nephrology, The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, China.
  • Siyu Xia
    School of Automation, Southeast University, Nanjing, China.
  • Taotao Tang
    Department of Pathology, School of Medicine, Southeast University, Nanjing, China.
  • Pingsheng Chen
    Department of Pathology, School of Medicine, Southeast University, Nanjing, China.

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