Automated Machine Learning versus Expert-Designed Models in Ocular Toxoplasmosis: Detection and Lesion Localization Using Fundus Images-Reference-Cited by-同舟云学术

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Automated Machine Learning versus Expert-Designed Models in Ocular Toxoplasmosis: Detection and Lesion Localization Using Fundus Images

Published:2024-02-27 Issue: Volume: Page:1-7
ISSN:0927-3948
Container-title:Ocular Immunology and Inflammation
language:en
Short-container-title:Ocular Immunology and Inflammation

Author:

Milad Daniel¹²³^ORCID,Antaki Fares¹²³⁴^ORCID,Bernstein Allison¹²³,Touma Samir¹²³^ORCID,Duval Renaud¹²^ORCID

Affiliation:

1. Department of Ophthalmology, Université de Montréal, Montreal, Québec, Canada

2. Centre Universitaire d’Ophtalmologie (CUO), Hôpital Maisonneuve-Rosemont, CIUSSS de l’Est-de-l’Île-de-Montréal, Montreal, Quebec, Canada

3. Department of Ophthalmology, Centre Hospitalier de l’Université de Montréal (CHUM), Montreal, Quebec, Canada

4. The CHUM School of Artificial Intelligence in Healthcare (SAIH), Centre Hospitalier de l’Université de Montréal (CHUM), Montreal, Quebec, Canada

Funder

A. Bernstein, None; Samir Touma, Bayer

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/09273948.2024.2319281

Reference31 articles.

1. Seroprevalence of human infection withToxoplasma gondiiand the associated risk factors, in Maiduguri, Borno state, Nigeria

2. Seroprevalence of Toxoplasma gondii infection amongst residents of Tanga District in north-east Tanzania

3. Toxoplasma gondii Infection in the United States, 1999–2004, Decline from the Prior Decade

4. A follow-up study of Toxoplasma gondii infection in southern Brazil

5. High Toxoplasma antibody prevalence among inhabitants in Jakarta, Indonesia;Terazawa A;Jpn J Infect Dis,2003

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