D-TrAttUnet: Toward Hybrid CNN-Transformer Architecture for Generic and Subtle Segmentation in Medical Images

arXiv:2405.04169v1 Announce Type: cross
Abstract: Over the past two decades, machine analysis of medical imaging has advanced rapidly, opening up significant potential for several important medical applications. As complicated diseases increase and the number of cases rises, the role of machine-based imaging analysis has become indispensable. It serves as both a tool and an assistant to medical experts, providing valuable insights and guidance. A particularly challenging task in this area is lesion segmentation, a task that is challenging even for …

abstract advanced analysis applications architecture arxiv become cases cnn cs.cv diseases eess.iv hybrid images imaging machine medical medical imaging role segmentation transformer transformer architecture type