Deep Learning Model for Diagnosing and Classifying Subtypes of Chronic Pulmonary Aspergillosis in Chest CT.

Journal: Mycoses
PMID: 40277031

Abstract

BACKGROUND: Diagnosing chronic pulmonary aspergillosis (CPA) and its subtypes is essential for treatment and prognosis. In clinical practice, inexperienced doctors may overlook the presence of CPA due to overreliance on radiological results. Applying deep learning technology enhances multi-classification model performance.

Authors

  • Jinbo Wei
    South China Normal University-Panyu Central Hospital Joint Laboratory of Basic and Translational Medical Research, Guangzhou Panyu Central Hospital, Guangzhou, China.
  • Lina Zhou
    Department of Business Information Systems and Operations Management, The University of North Carolina at Charlotte, Charlotte, NC USA.
  • Dong Zhang
    Institute of Acoustics, Nanjing University, Nanjing 210093, China.
  • Guangyuan Guo
    Department of Radiology, The Affiliated Panyu Central Hospital, Guangzhou Medical University, Guangzhou, China.
  • Zihui Li
    South China Normal University-Panyu Central Hospital Joint Laboratory of Basic and Translational Medical Research, Guangzhou Panyu Central Hospital, Guangzhou, China.
  • Junxin Fang
    South China Normal University-Panyu Central Hospital Joint Laboratory of Basic and Translational Medical Research, Guangzhou Panyu Central Hospital, Guangzhou, China.
  • Xiangyu Yan
    School of Disaster and Emergency Medicine, Tianjin University, Tianjin, China.
  • Yijin Li
    South China Normal University-Panyu Central Hospital Joint Laboratory of Basic and Translational Medical Research, Guangzhou Panyu Central Hospital, Guangzhou, China.
  • Xiaoying Zhang
    College of Veterinary Medicine, Northwest A&F UniversityYangling, China; Chinese-German Joint Laboratory for Natural Product Research, Qinling-Bashan Mountains Bioresources Comprehensive Development C.I.C., College of Biological Science and Engineering, Shaanxi University of TechnologyHanzhong, China.
  • Chunping Huang
    Department of Pharmacy, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, 350014, People's Republic of China.
  • Rihui Lan
    Department of Radiology, Guangzhou Medical College First Affiliated Hospital, Guangzhou, China.
  • Changzheng Shi
    Medical Imaging Center, The First Affiliated Hospital of Jinan University, No 613 Huangpu Dadao West, Guangzhou, 510630, China. tsczcn@jnu.edu.cn.
  • Dexiang Liu
    Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China.
  • Liangping Luo
    Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.
  • Cheng Long
  • Hanwei Chen
    Guangzhou Panyu Central Hospital, Guangzhou, China.
  • Yufeng Ye
    Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China.

Keywords

External Resources

Popular Topics
Recent Journals