PMFF-Net: A deep learning-based image classification model for UIP, NSIP, and OP.

Journal: Computers in biology and medicine
Published Date: Jun 20, 2025

Abstract

BACKGROUND: High-resolution computed tomography (HRCT) is helpful for diagnosing interstitial lung diseases (ILD), but it largely depends on the experience of physicians. Herein, our study aims to develop a deep-learning-based classification model to differentiate the three common types of ILD, so as to provide a reference to help physicians make the diagnosis and improve the accuracy of ILD diagnosis.

Authors

  • Ming-Wei Xu
    Department of Respiratory Critical Care Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, Yunnan, People's Republic of China.
  • Zheng-Hua Zhang
    Medical Imaging Department, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, People's Republic of China.
  • Xiao Wang
    Research Centre of Basic Integrative Medicine, School of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
  • Chun-Tao Li
    Department of Respiratory Critical Care Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, Yunnan, People's Republic of China.
  • Hui-Yun Yang
    Department of Respiratory Critical Care Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, Yunnan, People's Republic of China.
  • Ze-Hua Liao
    Department of Respiratory Critical Care Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, Yunnan, People's Republic of China.
  • Jian-Qing Zhang
    The Second Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Kunming Medical University, No. 295, Xichang Road, Wuhua District, Kunming, Yunnan, 650032, People's Republic of China. ydyyzjq@163.com.

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