Artificially intelligent detection of retinal pigment sign using P3S-Net for retinitis pigmentosa analysis
Image segmentation is a major and crucial problem in medical imaging. It is the foundation for clinical diagnostic methods, treatments, and computer-assisted disease diagnosis (CAD). An ocular condition known as retinal pigmentosa (RP) first results in night blindness and persistent degradation of t...
Saved in:
Main Authors: | Syed Muhammad Ali Imran, Abida Hussain, Nema Salem, Muhammad Arsalan |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-03-01
|
Series: | Results in Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025003482 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Automatic Detection and Classification of Eye Diseases from Retinal Images Using Deep Learning: A Comprehensive Research on the ODIR Dataset
by: Asadi Srinivasulu, et al.
Published: (2024-03-01) -
A feature extraction method for hydrofoil attached cavitation based on deep learning image semantic segmentation algorithm
by: Yingyuan Liu, et al.
Published: (2025-02-01) -
Kidney Segmentation with LinkNetB7
by: Cihan Akyel
Published: (2023-12-01) -
Improving diagnostic precision in thyroid nodule segmentation from ultrasound images with a self-attention mechanism-based Swin U-Net model
by: Changan Yang, et al.
Published: (2025-02-01) -
Adjusting U-Net for the aortic abdominal aneurysm CT segmentation case
by: R.U. Epifanov, et al.
Published: (2024-06-01)