GlauNet: Glaucoma Diagnosis for OCTA Imaging Using a New CNN Architecture-Reference-Cited by-同舟云学术

GlauNet: Glaucoma Diagnosis for OCTA Imaging Using a New CNN Architecture

Published:2022 Issue: Volume:10 Page:95613-95622
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Manassakorn Anita¹^ORCID,Auethavekiat Supatana²^ORCID,Sa-Ing Vera³,Chansangpetch Sunee¹,Ratanawongphaibul Kitiya¹,Uramphorn Nopphawan⁴,Tantisevi Visanee¹

Affiliation:

1. Center of Excellence in Glaucoma, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand

2. Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand

3. Department of Computer Science, Faculty of Science, Srinakarinwirot University, Bangkok, Thailand

4. Department of Ophthalmology, Faculty of Medicine, Vajira Hospital, Navamindradhiraj University, Bangkok, Thailand

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09875271.pdf?arnumber=9875271

Reference49 articles.

1. From Machine to Machine

2. Assessment of a Segmentation-Free Deep Learning Algorithm for Diagnosing Glaucoma From Optical Coherence Tomography Scans

3. Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs

4. Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs

5. Automatic identification of glaucoma using deep learning methods;cerentini;Stud Health Technol Inform,2017

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