Optimization of vision transformer-based detection of lung diseases from chest X-ray images.
Journal:
BMC medical informatics and decision making
Published Date:
Jul 8, 2024
Abstract
BACKGROUND: Recent advances in Vision Transformer (ViT)-based deep learning have significantly improved the accuracy of lung disease prediction from chest X-ray images. However, limited research exists on comparing the effectiveness of different optimizers for lung disease prediction within ViT models. This study aims to systematically evaluate and compare the performance of various optimization methods for ViT-based models in predicting lung diseases from chest X-ray images.