A novel approach to macular edema detection: DeepLabv3+ segmentation and VGG with vision transformer classification-Reference-Cited by-同舟云学术

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A novel approach to macular edema detection: DeepLabv3+ segmentation and VGG with vision transformer classification

Published:2024-05-13 Issue:3 Volume:65 Page:1177-1190
ISSN:0005-1144
Container-title:Automatika
language:en
Short-container-title:Automatika

Author:

Kotteeswari C.¹,Chandrasekaran V.²,Anitha S.³

Affiliation:

1. Department of Computer Science and Engineering, Velalar College of Engineering and Technology, Erode, India

2. Department of Electronics and Communication Engineering, VelalarCollege of Engineering and Technology, Erode, India

3. Department of Information Technology, Kongu Engineering College, Erode, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00051144.2024.2352313

Reference35 articles.

1. The Growing Epidemic of Diabetes Mellitus

2. Hybrid deep learning convolutional neural networks and optimal nonlinear support vector machine to detect presence of hemorrhage in retina

3. Decrease in Choroidal Vascularity Index of Haller’s layer in diabetic eyes precedes retinopathy

4. Artificial Intelligence and Deep Learning in Ophthalmology

5. Deep Learning–Based Diabetic Retinopathy Severity Grading System Employing Quadrant Ensemble Model

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