Identifying the Abnormalities in Retinal Images Towards the Prediction of Cardiovascular Disease Using Deep Learning-Reference-Cited by-同舟云学术

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Identifying the Abnormalities in Retinal Images Towards the Prediction of Cardiovascular Disease Using Deep Learning

Published:2024-03-21 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)
language:
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Author:

Prakash Yashwin P.¹,Siri Boora²,Jabez J.³

Affiliation:

1. Sathyabama Institute of Science and Technology,Computer Science and Engneering-Artificial Intelligence,Chennai,India

2. Sathyabama Institute of Science and Technology,Computer Science and Engneering,Chennai,India

3. Sathyabama Institute of Science and Engneering,Computer Science and Technology,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10532253/10532799/10532859.pdf?arnumber=10532859

Reference15 articles.

1. Retinal vascular abnormalities and their associations with cardiovascular and cerebrovascular diseases: a Study in rural southwestern Harbin, China

2. Validation of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from UK Biobank

3. Correlation of RETINAL Artery Diameter with Coronary Artery Disease: The RETINA CAD Pilot Study—Are the Eyes the Windows to the Heart?

4. An Overview of Deep-Learning-Based Methods for Cardiovascular Risk Assessment with Retinal Images

5. Cardiovascular disease risk assessment using a deep-learning-based retinal biomarker: a comparison with existing risk scores

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