Multimodal Retinal Imaging Classification for Parkinson's Disease Using a Convolutional Neural Network

Developing machine learning models for automated detection of Parkinson's disease from retinal imaging could lead to earlier and more widespread diagnoses.

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Publication Details

Journal
Translational Vision Science & Technology
Published
2024-08-13
DOI
https://doi.org/10.1167/tvst.13.8.23
Citations
12
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
4.85
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article

Multimodal Retinal Imaging Classification for Parkinson's Disease Using a Convolutional Neural Network

Sharon Fekrat, Dilraj Singh Grewal, B.L. Scott, Ricardo Henao et al.
12 citations
Translational Vision Science & Technology
Retinal Imaging and Analysis
4.85
article

Multimodal Retinal Imaging Classification for Parkinson's Disease Using a Convolutional Neural Network

Sharon Fekrat, Dilraj Singh Grewal, B.L. Scott, Ricardo Henao, Anita Kundu, Terry Lee, Alexander Richardson
article en
12 citations

Abstract

Developing machine learning models for automated detection of Parkinson's disease from retinal imaging could lead to earlier and more widespread diagnoses.

Translational Vision Science & TechnologyVol. 13(8)
Duke University (US)
Openalex Percentile: Top 5%
Retinal Imaging and Analysis
4.85
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