Screening diabetic retinopathy and exudates in retinal images using dual functional convolutional neural networks-Reference-Cited by-同舟云学术

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Screening diabetic retinopathy and exudates in retinal images using dual functional convolutional neural networks

Published:2025-01 Issue: Volume:99 Page:106871
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Geetha T.,Hema C.

Publisher

Elsevier BV

Reference24 articles.

1. Automated segmentation of exudates, hemorrhages, microaneurysms using single convolutional neural network;Tan;Inf. Sci.,2017

2. Exudate detection in fundus images using deeply-learnable features;Khojasteh;Comput. Biol. Med.,2019

3. A generalized method for the segmentation of exudates from pathological retinal fundus images;Kaur;Biocybernet. Biomed. Eng.,2018

4. Fundus images analysis using deep features for detection of exudates, hemorrhages, and microaneurysms;Khojasteh;BMC Ophthalmol.,2018

5. Hard exudates segmentation based on learned initial seeds and iterative graph cut;Kusakunniran;Comput. Methods Programs Biomed.,2018

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