Improved Support Vector Machine based on CNN-SVD for vision-threatening diabetic retinopathy detection and classification
Main Authors: | Anas Bilal, Azhar Imran, Talha Imtiaz Baig, Xiaowen Liu, Haixia Long, Abdulkareem Alzahrani, Muhammad Shafiq |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2024-01-01
|
Series: | PLoS ONE |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10760665/?tool=EBI |
Similar Items
-
EdgeSVDNet: 5G-Enabled Detection and Classification of Vision-Threatening Diabetic Retinopathy in Retinal Fundus Images
by: Anas Bilal, et al.
Published: (2023-09-01) -
Vision threatening diabetic retinopathy
by: Jain I
Published: (1988-01-01) -
Prevalence of diabetic retinopathy and vision-threatening diabetic retinopathy in adults with diabetes in China
by: Xuhong Hou, et al.
Published: (2023-07-01) -
Hybrid CNN-SVD Based Prominent Feature Extraction and Selection for Grading Diabetic Retinopathy Using Extreme Learning Machine Algorithm
by: Md. Nahiduzzaman, et al.
Published: (2021-01-01) -
Computer-Aided Detection of Hypertensive Retinopathy Using Depth-Wise Separable CNN
by: Imran Qureshi, et al.
Published: (2022-11-01)