An attention-based multimodal hybrid deep learning framework for pneumonia classification using chest X-rays and radiologist-annotated severity labels
Adequate classification of pneumonia is essential for timely disease management and effective resource allocation in healthcare systems. As pneumonia presents with varying severity and its assessment utilizing chest radiographs is challenging, specifically detecting MILD and NORMAL-PCR+ cases, where chest radiographs m...