A Lightweight Robust Deep Learning Model Gained High Accuracy in Classifying a Wide Range of Diabetic Retinopathy Images-Reference-Cited by-同舟云学术

A Lightweight Robust Deep Learning Model Gained High Accuracy in Classifying a Wide Range of Diabetic Retinopathy Images

Published:2023 Issue: Volume:11 Page:42361-42388
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Raiaan Mohaimenul Azam Khan¹^ORCID,Fatema Kaniz²^ORCID,Khan Inam Ullah²,Azam Sami³^ORCID,Rashid Md. Rafi Ur⁴,Mukta Md. Saddam Hossain¹^ORCID,Jonkman Mirjam³^ORCID,De Boer Friso³^ORCID

Affiliation:

1. Department of Computer Science and Engineering, United International University, United City, Dhaka, Bangladesh

2. Department of Computer Science and Engineering, Health Informatics Research Laboratory, Daffodil International University, Dhaka, Bangladesh

3. Faculty of Science and Technology, Charles Darwin University, Casuarina, NT, Australia

4. Department of Computer Science and Engineering, The Pennsylvania State University, State College, PA, USA

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/ielx7/6287639/10005208/10113630.pdf?arnumber=10113630

Reference86 articles.

1. Causes of vision loss worldwide, 1990–2010: a systematic analysis

2. Understanding Data Augmentation for Classification: When to Warp?

3. Diabetic macular edema-personalizing treatment;Amer Acad Ophthalmol,2016

4. Analysis of Convolutional Neural Network for Fundus Image Segmentation

5. Status of diabetic retinopathy and its presentation patterns in diabetics at ophthalomogy clinics;jan;Postgraduate Institute of Medicine,2018

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reimagining otitis media diagnosis: A fusion of nested U-Net segmentation with graph theory-inspired feature set;Array;2024-09

2. A Novel Classification Approach for Retinal Disease Using Improved Gannet Optimization‐Based Capsule DenseNet;International Journal of Imaging Systems and Technology;2024-08-22

3. Mammo-Light: A lightweight convolutional neural network for diagnosing breast cancer from mammography images;Biomedical Signal Processing and Control;2024-08

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