2023
DOI: 10.21203/rs.3.rs-3445505/v1
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

A new attempt at full-scale jump connectivity and Transformer

luyan yin,
haijun chen

Abstract: In this research, we introduce SwinUnet3+, a pioneering algorithm that integrates Unet with Transformer, to facilitate the automatic segmentation of three primary tissues—subcutaneous fat layer, muscle, and intramuscular fat—in the thoracoabdominal region under challenging conditions, including subcutaneous soft tissue swelling, gas accumulation, artifacts, and fistulas. Our model showcases superior performance in body composition segmentation tasks, with improvements in DSC, IoU, sensitivity, and positive pre… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 45 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?