An extremely lightweight CNN model for the diagnosis of chest radiographs in resource-constrained environments.
Journal:
Medical physics
Published Date:
Sep 4, 2023
Abstract
BACKGROUND: In recent years, deep learning methods have been successfully used for chest x-ray diagnosis. However, such deep learning models often contain millions of trainable parameters and have high computation demands. As a result, providing the benefits of cutting-edge deep learning technology to areas with low computational resources would not be easy. Computationally lightweight deep learning models may potentially alleviate this problem.