3D-EffiViTCaps: 3D Efficient Vision Transformer with Capsule for Medical Image Segmentation

arXiv:2403.16350v1 Announce Type: cross
Abstract: Medical image segmentation (MIS) aims to finely segment various organs. It requires grasping global information from both parts and the entire image for better segmenting, and clinically there are often certain requirements for segmentation efficiency. Convolutional neural networks (CNNs) have made considerable achievements in MIS. However, they are difficult to fully collect global context information and their pooling layer may cause information loss. Capsule networks, which combine the benefits of CNNs while taking into account …

arxiv capsule cs.cv eess.iv image medical segmentation transformer type vision