DmADs-Net: Dense multiscale attention and depth-supervised network for medical image segmentation

arXiv:2405.00472v1 Announce Type: cross
Abstract: Deep learning has made important contributions to the development of medical image segmentation. Convolutional neural networks, as a crucial branch, have attracted strong attention from researchers. Through the tireless efforts of numerous researchers, convolutional neural networks have yielded numerous outstanding algorithms for processing medical images. The ideas and architectures of these algorithms have also provided important inspiration for the development of later technologies.Through extensive experimentation, we have found that currently mainstream deep learning algorithms are …

abstract algorithms arxiv attention convolutional convolutional neural networks cs.cv deep learning development eess.iv image medical network networks neural networks processing researchers segmentation through type