2023
DOI: 10.1007/s11042-023-16416-4
|View full text |Cite
|
Sign up to set email alerts
|

Ψnet: a parallel network with deeply coupled spatial and squeezed features for segmentation of medical images

Eman M. Elmeslimany,
Sherif S. Kishk,
Doaa A. Altantawy

Abstract: The process of delineating a region of interest or an object in an image is called image segmentation. Efficient medical image segmentation can contribute to the early diagnosis of illnesses, and accordingly, patient survival possibilities can be enhanced. Recently, deep semantic segmentation methods demonstrate state-of-the-art (SOTA) performance. In this paper, we propose a generic novel deep medical segmentation framework, denoted as Ψnet. This model introduces a novel parallel encoder-decoder structure tha… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 6 publications
references
References 60 publications
0
0
0
Order By: Relevance