Hybrid generative model for grading the severity of diabetic retinopathy images-Reference-Cited by-同舟云学术

Hybrid generative model for grading the severity of diabetic retinopathy images

Published:2023-10-15 Issue: Volume: Page:1-13
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Bhuvaneswari R.¹,Diviya M.¹,Subramanian M.²,Maranan Ramya³,Josphineleela R⁴

Affiliation:

1. Department of Computer Science and Engineering, Amrita School of Computing, Chennai, India

2. Department of Mechanical Engineering, St.Joseph’s College of Engineering, Chennai, India

3. Department of Research and Innovation, Saveetha School of Engineering, SIMATS, Chennai, India

4. Department of Computer Science and Engineering, Panimalar Engineering College, Chennai, India

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2266048

Reference57 articles.

1. Detection and classification of retinal lesions for grading of diabetic retinopathy

2. A Decision Support System for Early-Stage Diabetic Retinopathy Lesions

3. Combining Artificial Intelligence and Image Processing for Diagnosing Diabetic Retinopathy in Retinal Fundus Images

4. An Intelligent Moth Flame Optimization with Inception Network for Diabetic Retinopathy Detection and Grading

5. A deep convolutional extreme machine learning classification method to detect bone cancer from histopathological images;Anand D;Int J Intell Sys Appl Eng,2022

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