GlauCUTU: Time Until Perceived Virtual Reality Perimetry With Humphrey Field Analyzer Prediction-Based Artificial Intelligence-Reference-Cited by-同舟云学术

GlauCUTU: Time Until Perceived Virtual Reality Perimetry With Humphrey Field Analyzer Prediction-Based Artificial Intelligence

Published:2022 Issue: Volume:10 Page:36949-36962
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kunumpol Patthapol¹^ORCID,Lerthirunvibul Nichapa¹^ORCID,Phienphanich Phongphan¹,Munthuli Adirek¹,Temahivong Kanjapat¹,Tantisevi Visanee²,Manassakorn Anita²,Chansangpetch Sunee²,Itthipanichpong Rath¹,Ratanawongphaibul Kitiya²,Rojanapongpun Prin²,Tantibundhit Charturong¹^ORCID

Affiliation:

1. Center of Excellence in Intelligent Informatics, Speech and Language Technology, and Service Innovation (CILS), Thammasat University, Rangsit Campus, Khlong Luang, Bangkok, Pathum Thani, Thailand

2. Department of Ophthalmology, Faculty of Medicine, Glaucoma Research Unit, Chulalongkorn University, Bangkok, Thailand

Funder

Scholarship from the Faculty of Engineering, Thammasat University

Program Management Unit for Competitiveness, Office of National Higher Education, Science, Research and Innovation Policy Council together with work Udon Thani Cancer Hospital Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09745592.pdf?arnumber=9745592

Reference48 articles.

1. WEKA: a machine learning workbench

2. Deep Residual Learning for Image Recognition

3. A Method Using Goldmann Stimulus Sizes I to V–Measured Sensitivities to Predict Lead Time Gained to Visual Field Defect Detection in Early Glaucoma

4. Equating spatial summation in visual field testing reveals greater loss in optic nerve disease

5. Comparison of the SITA Faster–a new visual field strategy with SITA Fast strategy

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