Harvard Glaucoma Detection with 500 Samples (Harvard-GD500) (doi:10.7910/DVN/ENTBEE)

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Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Harvard Glaucoma Detection with 500 Samples (Harvard-GD500)

Identification Number:

doi:10.7910/DVN/ENTBEE

Distributor:

Harvard Dataverse

Date of Distribution:

2023-05-08

Version:

1

Bibliographic Citation:

Wang, Mengyu, 2023, "Harvard Glaucoma Detection with 500 Samples (Harvard-GD500)", https://doi.org/10.7910/DVN/ENTBEE, Harvard Dataverse, V1

Study Description

Citation

Title:

Harvard Glaucoma Detection with 500 Samples (Harvard-GD500)

Identification Number:

doi:10.7910/DVN/ENTBEE

Authoring Entity:

Wang, Mengyu (Harvard University)

Distributor:

Harvard Dataverse

Access Authority:

Wang, Mengyu

Depositor:

Wang, Mengyu

Date of Deposit:

2023-05-08

Holdings Information:

https://doi.org/10.7910/DVN/ENTBEE

Study Scope

Keywords:

Computer and Information Science, Medicine, Health and Life Sciences, AI Dataset, Medical Imaging, Glaucoma, Deep Learning, Machine Learning, Computer Vision

Abstract:

This Harvard-GD500 dataset includes 500 samples from 500 patients for glaucoma detection for confirming results in our paper "Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma" published in the Journal of Biomedical and Health Informatics. Currently, we host our datasets on our website. If you would like to know more datasets from our lab, please visit <a href="http://ophai.hms.harvard.edu/datasets/">http://ophai.hms.harvard.edu/datasets</a>

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Other Study-Related Materials

Label:

glaucoma_label500.npy

Text:

glaucoma labels

Notes:

application/octet-stream

Other Study-Related Materials

Label:

rnflt_map500.npy

Text:

retinal nerve fiber layer thickness maps.

Notes:

application/octet-stream

Other Study-Related Materials

Label:

vf_md500.npy

Text:

visual fields

Notes:

application/octet-stream