DSGA-Net: Deeply separable gated transformer and attention strategy for medical image segmentation network

DSGA-Net: Deeply separable gated transformer and attention strategy for medical image segmentation network

To address the problems of under-segmentation and over-segmentation of small organs in medical image segmentation. We present a novel medical image segmentation network model with Depth Separable Gating Transformer and a Three-branch Attention module (DSGA-Net). Firstly, the model adds a Depth Separ...

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Bibliographic Details
Main Authors: Junding Sun, Jiuqiang Zhao, Xiaosheng Wu, Chaosheng Tang, Shuihua Wang, Yudong Zhang
Format: Article
Language:English
Published: Elsevier 2023-05-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Medical image segmentation
Transformer
Gated attention mechanism
Depth separable
Online Access:http://www.sciencedirect.com/science/article/pii/S131915782300099X

Internet

http://www.sciencedirect.com/science/article/pii/S131915782300099X

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