Diabetic Retinopathy Detection and Grading: A Transfer Learning Approach Using Simultaneous Parameter Optimization and Feature-Weighted ECOC Ensemble-Reference-Cited by-同舟云学术

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Diabetic Retinopathy Detection and Grading: A Transfer Learning Approach Using Simultaneous Parameter Optimization and Feature-Weighted ECOC Ensemble

Published:2023 Issue: Volume:11 Page:83004-83016
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Wong W. K.¹^ORCID,Juwono Filbert H.²^ORCID,Apriono Catur³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Curtin University Malaysia, Miri, Malaysia

2. Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China

3. Department of Electrical Engineering, Universitas Indonesia, Depok, Indonesia

Funder

Universitas Indonesia’s International Indexed Publication (PUTI) Q1 Grant, in 2022

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10207039.pdf?arnumber=10207039

Reference47 articles.

1. Extreme learning machine and its applications

2. Vision-Based Malware Detection: A Transfer Learning Approach Using Optimal ECOC-SVM Configuration

3. Diabetic retinal exudates detection using machine learning techniques

4. A survey on recent developments in diabetic retinopathy detection through integration of deep learning;agarwal;Multimedia Tools Appl,2022

5. A Literature Review of Early-Stage Diabetic Retinopathy Detection Using Deep Learning and Evolutionary Computing Techniques

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1. Data-driven 2D-EWT based diabetic retinopathy identification using hybrid neural network;Image and Vision Computing;2024-10

2. DFCAFNet: Dual-feature co-attentive fusion network for diabetic retinopathy grading;Biomedical Signal Processing and Control;2024-10

3. DiabSense: early diagnosis of non-insulin-dependent diabetes mellitus using smartphone-based human activity recognition and diabetic retinopathy analysis with Graph Neural Network;Journal of Big Data;2024-08-03

4. Optical imaging for diabetic retinopathy diagnosis and detection using ensemble models;Photodiagnosis and Photodynamic Therapy;2024-08

5. ERBVS: Enhanced Retinal Blood Vessel Segmentation using Multiple Modalities and Attention Mechanisms with Adversarial Training and Ensemble Deep Learning Operations;2024-07-26

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