A radiomics-boosted deep-learning model for COVID-19 and non-COVID-19 pneumonia classification using chest x-ray images.

Journal: Medical physics
Published Date:

Abstract

PURPOSE: To develop a deep learning model design that integrates radiomics analysis for enhanced performance of COVID-19 and non-COVID-19 pneumonia detection using chest x-ray images.

Authors

  • Zongsheng Hu
    Department of Medical Physics, Wuhan University, Wuhan, 430072 People's Republic of China.
  • Zhenyu Yang
    College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou, China.
  • Kyle J Lafata
    Department of Radiology, Duke University School of Medicine, Durham, NC, USA. kyle.lafata@duke.edu.
  • Fang-Fang Yin
    Department of Radiation Oncology, Duke University Medical Center, Durham, NC, United States.
  • Chunhao Wang
    Department of Radiation Oncology, Duke University Medical Center, Durham, NC, United States.