DRFL: Federated Learning in Diabetic Retinopathy Grading Using Fundus Images-Reference-Cited by-同舟云学术

DRFL: Federated Learning in Diabetic Retinopathy Grading Using Fundus Images

Published:2023-06 Issue:6 Volume:34 Page:1789-1801
ISSN:1045-9219
Container-title:IEEE Transactions on Parallel and Distributed Systems
language:
Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Mohan N Jagan¹^ORCID,Murugan R¹^ORCID,Goel Tripti¹^ORCID,Roy Parthapratim²

Affiliation:

1. Department of Electronics and Communication Engineering, Bio-Medical Imaging Laboratory, National Institute of Technology Silchar, Silchar, Assam, India

2. Department of Ophthalmology, Silchar Medical College and Hospital, Silchar, Assam, India

Funder

Ministry of Education, India

National Institute of Technology, Silchar

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/71/10123122/10093080.pdf?arnumber=10093080

Reference40 articles.

1. A multi-scale segmentation-to-classification network for tiny microaneurysm detection in fundus images

2. Federated learning with non-iid data;zhao,2018

3. Deep learning architecture based on segmented fundus image features for classification of diabetic retinopathy

4. Communication-efficient learning of deep networks from decentralized data;mcmahan;Proc 20th Int Conf Artif Intell Statist,2017

5. RA-GCN: Graph convolutional network for disease prediction problems with imbalanced data

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