Computer-Aided Diagnosis of Thoracic Diseases in Chest X-rays using Hybrid CNN-Transformer Architecture

This is like giving radiologists a very smart assistant that has looked at thousands of chest X‑rays. It uses two kinds of “eyes” at once: one that’s good at spotting tiny local details (CNN) and another that’s good at seeing the bigger picture and relationships across the whole image (Transformer). Together, they flag possible lung and heart problems on chest X‑rays so doctors can diagnose faster and more accurately.