Pyramid Pixel Context Adaption Network for Enhancing Medical Image Classification with Supervised Contrastive Learning

The proposed Pyramid Pixel Context Adaption (PPCA) module effectively leverages multi-scale pixel context information and pixel normalization to dynamically re-estimate the relative importance of each pixel position in a pixel-independent manner, enabling deep neural networks to better focus on subtle lesion regions for improved medical image classification performance.