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

arXiv:2303.01917v3 Announce Type: replace
Abstract: Spatial attention mechanism has been widely incorporated into deep neural networks (DNNs), significantly lifting the performance in computer vision tasks via long-range dependency modeling. However, it may perform poorly in medical image analysis. Unfortunately, existing efforts are often unaware that long-range dependency modeling has limitations in highlighting subtle lesion regions. To overcome this limitation, we propose a practical yet lightweight architectural unit, Pyramid Pixel Context Adaption (PPCA) module, which exploits multi-scale pixel context information to …

abstract analysis arxiv attention classification computer computer vision context cs.cv however image medical modeling network networks neural networks performance pixel pyramid spatial tasks type via vision