HYBRID EDR-NET+ ARCHITECTURE WITH NOISE INVARIANT AND EFFECTIVE COMPUTATION FOR ALTERNATIVE CLASSIFICATION OF REFERABLE DIABETIC RETINOPATHY
Saved in:
Main Author: | AUJIH, AHMAD BUKHARI |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | http://utpedia.utp.edu.my/id/eprint/28960/1/AhmadBukhariBinAujih_G03649.pdf http://utpedia.utp.edu.my/id/eprint/28960/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
EDR-Net: Lightweight Deep Neural Network Architecture for Detecting Referable Diabetic Retinopathy
by: Aujih, Ahmad Bukhari, et al.
Published: (2022) -
EDR-Net: Lightweight deep neural network architecture for detecting referable diabetic retinopathy
by: Aujih, Ahmad Bukhari, et al.
Published: (2022) -
EDR-Net: Lightweight Deep Neural Network Architecture for Detecting Referable Diabetic Retinopathy
by: Aujih, A.B., et al.
Published: (2022) -
EDR-Net: Lightweight Deep Neural Network Architecture for Detecting Referable Diabetic Retinopathy
by: Aujih, A.B., et al.
Published: (2022) -
Diabetic retinopathy grading using ResNet convolutional neural network
by: Sallam, Muhammad Samer, et al.
Published: (2020)