EDR-Net: Lightweight deep neural network architecture for detecting referable diabetic retinopathy
Present architecture of convolution neural network for diabetic retinopathy (DR-Net) is based on normal convolution (NC). It incurs high computational cost as NC uses a multiplicative weight that measures a combined correlation in both cross-channel and spatial dimension of layer's inputs. This...
Saved in:
Main Authors: | Aujih, Ahmad Bukhari, Shapiai, Mohd. Ibrahim, Meriaudeau, Fabrice, Tang, Tong Boon |
---|---|
Format: | Article |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2022
|
Subjects: | |
Online Access: | http://eprints.utm.my/104439/ http://dx.doi.org/10.1109/TBCAS.2022.3182907 |
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, 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) -
HYBRID EDR-NET+ ARCHITECTURE WITH NOISE
INVARIANT AND EFFECTIVE COMPUTATION FOR
ALTERNATIVE CLASSIFICATION OF REFERABLE
DIABETIC RETINOPATHY
by: AUJIH, AHMAD BUKHARI
Published: (2024) -
DR-Net with Convolution Neural Network
by: Aujih, Ahmad Bukhari, et al.
Published: (2021)