2024
DOI: 10.1038/s41598-024-71080-4
|View full text |Cite
|
Sign up to set email alerts
|

A Modified Deep Semantic Segmentation Model for Analysis of Whole Slide Skin Images

Muhammad Zeeshan Asaf,
Hamid Rasul,
Muhammad Usman Akram
et al.

Abstract: Automated segmentation of biomedical image has been recognized as an important step in computer-aided diagnosis systems for detection of abnormalities. Despite its importance, the segmentation process remains an open challenge due to variations in color, texture, shape diversity and boundaries. Semantic segmentation often requires deeper neural networks to achieve higher accuracy, making the segmentation model more complex and slower. Due to the need to process a large number of biomedical images, more efficie… 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 28 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?