An Automated Deep Learning Approach to Diagnose Glaucoma using Retinal Fundus Images-Reference-Cited by-同舟云学术

An Automated Deep Learning Approach to Diagnose Glaucoma using Retinal Fundus Images

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Frontiers of Information Technology (FIT)
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Author:

Shoukat Ayesha¹,Akbar Shahzad¹,Hassan Syed Al E¹,Rehman Amjad²,Ayesha Noor³

Affiliation:

1. Riphah International University, Faisalabad Campus,Department of Computing,Pakistan

2. Prince Sultan University,Artificial Intelligence & Data Analytics Lab (AIDA),Riyadh,Saudi Arabia

3. University, Zhengzhou,School of Clinical Medicine Zhengzhou,Henan,RP China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9701367/9701368/09701407.pdf?arnumber=9701407

Reference35 articles.

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3. Deep residual learning for image recognition;he;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2016

4. Very deep convolutional networks for large-scale image recognition;simonyan;arXiv preprint arXiv 1409 1556,2014

5. Machine Learning Based Automated Segmentation and Hybrid Feature Analysis for Diabetic Retinopathy Classification Using Fundus Image

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