A Hybrid CNN–Transformer Framework for Enhanced Medical Image Classification
Medical image classification is important for computer-aided disease diagnosis due to its potential in identifying diseases from clinical images. Convolutional Neural Networks have been proved capable of modelling local spatial and textural features but are believed to be weak in capturing long-range dependencies. On t...