Designing a Hybrid CNN-Transformer Architecture for Robust Medical Image Diagnosis
Medical image diagnosis increasingly relies on deep learning against a background where convolutional neural networks capture local texture well but miss long-range spatial relationships, while transformer models need large labeled datasets and heavy computation that clinical settings rarely have. This study pursues th...