A Deep Learning System for Automated Quality Evaluation of Optic Disc Photographs in Neuro-Ophthalmic Disorders

10.3390/diagnostics13010160

Saved in:
Bibliographic Details
Main Authors: Chan, Ebenezer, Tang, Zhiqun, Najjar, Raymond PP, Narayanaswamy, Arun, Sathianvichitr, Kanchalika, Newman, Nancy JJ, Biousse, Valerie, Milea, Dan, BONSAI, Grp
Other Authors: DUKE-NUS MEDICAL SCHOOL
Format: Article
Language:English
Published: MDPI 2023
Subjects:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/237164
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore
Language: English
id sg-nus-scholar.10635-237164
record_format dspace
spelling sg-nus-scholar.10635-2371642023-08-29T09:34:10Z A Deep Learning System for Automated Quality Evaluation of Optic Disc Photographs in Neuro-Ophthalmic Disorders Chan, Ebenezer Tang, Zhiqun Najjar, Raymond PP Narayanaswamy, Arun Sathianvichitr, Kanchalika Newman, Nancy JJ Biousse, Valerie Milea, Dan BONSAI, Grp DUKE-NUS MEDICAL SCHOOL OPHTHALMOLOGY Science & Technology Life Sciences & Biomedicine Medicine, General & Internal General & Internal Medicine retinal image quality assessment artificial intelligence deep learning optic nerve head papilledema DIABETIC-RETINOPATHY ARTIFICIAL-INTELLIGENCE MODEL 10.3390/diagnostics13010160 DIAGNOSTICS 13 1 2023-02-13T06:36:19Z 2023-02-13T06:36:19Z 2023-01-01 2023-02-13T06:26:59Z Article Chan, Ebenezer, Tang, Zhiqun, Najjar, Raymond PP, Narayanaswamy, Arun, Sathianvichitr, Kanchalika, Newman, Nancy JJ, Biousse, Valerie, Milea, Dan, BONSAI, Grp (2023-01-01). A Deep Learning System for Automated Quality Evaluation of Optic Disc Photographs in Neuro-Ophthalmic Disorders. DIAGNOSTICS 13 (1). ScholarBank@NUS Repository. https://doi.org/10.3390/diagnostics13010160 2075-4418 https://scholarbank.nus.edu.sg/handle/10635/237164 en MDPI Elements
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic Science & Technology
Life Sciences & Biomedicine
Medicine, General & Internal
General & Internal Medicine
retinal image quality assessment
artificial intelligence
deep learning
optic nerve head
papilledema
DIABETIC-RETINOPATHY
ARTIFICIAL-INTELLIGENCE
MODEL
spellingShingle Science & Technology
Life Sciences & Biomedicine
Medicine, General & Internal
General & Internal Medicine
retinal image quality assessment
artificial intelligence
deep learning
optic nerve head
papilledema
DIABETIC-RETINOPATHY
ARTIFICIAL-INTELLIGENCE
MODEL
Chan, Ebenezer
Tang, Zhiqun
Najjar, Raymond PP
Narayanaswamy, Arun
Sathianvichitr, Kanchalika
Newman, Nancy JJ
Biousse, Valerie
Milea, Dan
BONSAI, Grp
A Deep Learning System for Automated Quality Evaluation of Optic Disc Photographs in Neuro-Ophthalmic Disorders
description 10.3390/diagnostics13010160
author2 DUKE-NUS MEDICAL SCHOOL
author_facet DUKE-NUS MEDICAL SCHOOL
Chan, Ebenezer
Tang, Zhiqun
Najjar, Raymond PP
Narayanaswamy, Arun
Sathianvichitr, Kanchalika
Newman, Nancy JJ
Biousse, Valerie
Milea, Dan
BONSAI, Grp
format Article
author Chan, Ebenezer
Tang, Zhiqun
Najjar, Raymond PP
Narayanaswamy, Arun
Sathianvichitr, Kanchalika
Newman, Nancy JJ
Biousse, Valerie
Milea, Dan
BONSAI, Grp
author_sort Chan, Ebenezer
title A Deep Learning System for Automated Quality Evaluation of Optic Disc Photographs in Neuro-Ophthalmic Disorders
title_short A Deep Learning System for Automated Quality Evaluation of Optic Disc Photographs in Neuro-Ophthalmic Disorders
title_full A Deep Learning System for Automated Quality Evaluation of Optic Disc Photographs in Neuro-Ophthalmic Disorders
title_fullStr A Deep Learning System for Automated Quality Evaluation of Optic Disc Photographs in Neuro-Ophthalmic Disorders
title_full_unstemmed A Deep Learning System for Automated Quality Evaluation of Optic Disc Photographs in Neuro-Ophthalmic Disorders
title_sort deep learning system for automated quality evaluation of optic disc photographs in neuro-ophthalmic disorders
publisher MDPI
publishDate 2023
url https://scholarbank.nus.edu.sg/handle/10635/237164
_version_ 1779155528582168576