Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attention

arXiv:2405.06284v1 Announce Type: cross
Abstract: Generalizability in deep neural networks plays a pivotal role in medical image segmentation. However, deep learning-based medical image analyses tend to overlook the importance of frequency variance, which is critical element for achieving a model that is both modality-agnostic and domain-generalizable. Additionally, various models fail to account for the potential information loss that can arise from multi-task learning under deep supervision, a factor that can impair the model representation ability. To address these challenges, we …

abstract arxiv attention cs.cv cs.lg deep learning domain eess.iv element however image importance medical networks neural networks pivotal role scale segmentation type variance