Back to search

Article

DefA-Net: A Multi-Scale Deformable Attention Based MRI Image Segmentation Network

2022-11-23

Abstract excerpt

<title>Abstract</title> <p>Accurate medical image segmentation is very important for disease diagnosis and treatment planning. The existing segmentation networks have achieved good performance in some medical image segmentation tasks. However, due to the complex conditions of lesions in size, shape, texture and boundary irregularity, current methods still have limitations. In this paper, we propose a multi-scale...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
7838d735-9978-5c97-b62d-e735adb1bc21
DOI
10.21203/rs.3.rs-2248887/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
DefA-Net: A Multi-Scale Deformable Attention Based MRI Image Segmentation NetworkDOI 10.21203/rs.3.rs-2248887/v1
Select a neighboring publication to make it the new centre.