A hybrid approach with customized machine learning classifiers and multiple feature extractors for enhancing diabetic retinopathy detection

Author:

Taifa Intifa Aman,Setu Deblina Mazumder,Islam TaniaORCID,Dey Samrat Kumar,Rahman Tazizur

Publisher

Elsevier BV

Reference59 articles.

1. A bi-directional long short-term memory-based diabetic retinopathy detection model using retinal fundus images;Phridviraj;Healthc. Anal.,2023

2. An advanced deep neural network for fundus image analysis and enhancing diabetic retinopathy detection;Shamrat;Healthc. Anal.,2024

3. Diabetic retinopathy: global prevalence, major risk factors, screening practices and public health challenges: A review;Ting;Clin. Exp. Ophthalmol.,2016

4. OCT angiography metrics predict progression of diabetic retinopathy and development of diabetic macular edema: A prospective study;Sun;Ophthalmology,2019

5. Influencing factors for peripheral and posterior lesions in mild non-proliferative diabetic retinopathy—the Kailuan eye study;Yang;Int. J. Ophthalmol.,2020

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