Improving Regularization of Deep Learning Models in Fundus Analysis-Reference-Cited by-同舟云学术

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Improving Regularization of Deep Learning Models in Fundus Analysis

Published:2023-10-31 Issue: Volume: Page:
ISSN:
Container-title:2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
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Author:

Hsu Wei-Wen¹,Chang Yao-Chung¹,Lee Wei-Min¹,Huang Yu-Chuan²,Lu Da-Wen³

Affiliation:

1. National Taitung University,Department of Computer Science and Information Engineering,Taitung,Taiwan

2. National Defense Medical Center,School of Pharmacy,Taipei,Taiwan

3. Tri-Service General Hospital and National Defense Medical Center,Department of Ophthalmology,Taipei,Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10317071/10317095/10317170.pdf?arnumber=10317170

Reference9 articles.

1. Adversarial examples are not bugs, they are features;ilyas;Advances in neural information processing systems,2019

2. Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning

3. Deep Residual Learning for Image Recognition

4. Deep learning assisted detection of glaucomatous optic neuropathy and potential designs for a generalizable model

5. Deep learning on fundus images detects glaucoma beyond the optic disc;hemelings;Scientific Reports,2021

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