This paper is in the following e-collection/theme issue:

Pilot studies (non-ehealth) (65) Imaging Informatics (193) Artificial Intelligence (1371) Medical imaging (28) Presbyopia and other Age-related Eye Diseases and Vision Impairments (10) Artificial Intelligence in Diabetes Care and Prevention (29)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59914, first published .
Assessment of Clinical Metadata on the Accuracy of Retinal Fundus Image Labels in Diabetic Retinopathy in Uganda: Case-Crossover Study Using the Multimodal Database of Retinal Images in Africa

Assessment of Clinical Metadata on the Accuracy of Retinal Fundus Image Labels in Diabetic Retinopathy in Uganda: Case-Crossover Study Using the Multimodal Database of Retinal Images in Africa

Assessment of Clinical Metadata on the Accuracy of Retinal Fundus Image Labels in Diabetic Retinopathy in Uganda: Case-Crossover Study Using the Multimodal Database of Retinal Images in Africa

Authors of this article:

Simon Arunga1 Author Orcid Image ;   Katharine Elise Morley2 Author Orcid Image ;   Teddy Kwaga1 Author Orcid Image ;   Michael Gerard Morley3 Author Orcid Image ;   Luis Filipe Nakayama4, 5 Author Orcid Image ;   Rogers Mwavu6 Author Orcid Image ;   Fred Kaggwa7 Author Orcid Image ;   Julius Ssempiira8 Author Orcid Image ;   Leo Anthony Celi5, 9, 10 Author Orcid Image ;   Jessica E Haberer2 Author Orcid Image ;   Celestino Obua11 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually