Diagnostic accuracy of a deep learning model for pterygium detection in Barcelos, Brazilian Amazon

Diego Casagrande^1,2; Mauro Gobira¹; Arthur G. Fernandes²; Marcos Jacob Cohen³; Paula Marques Marinho^1,2; Kevin Waquim Pessoa Carvalho¹; Ariane Luttecke-Anders^2,4; Beatriz Araujo Stauber²; Nívea Nunes Ferraz²; Jacob Moysés Cohen³; Adriana Berezovsky²; Solange Rios Salomão²; Rubens Belfort Jr.^1,2

DOI: 10.5935/0004-2749.2025-0053

1. Instituto da Visão, Instituto Paulista de Estudos e Pesquisas em Oftalmologia, São Paulo, SP, Brazil
2. Department of Ophthalmology and Visual Sciences, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil
3. Division of Ophthalmology, Department of Surgery, Faculdade de Medicina, Universidade Federal do Amazonas, Manaus, AM, Brazil
4. Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile

Corresponding author

Diego Casagrande
Email: [email protected]

Disclosure of potential conflicts of interest: The authors declare no potential conflicts of interest.

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How to cite this article:

Casagrande^{1 D, 2} , Gobira M, Fernandes AG, Cohen MJ, Marinho^{1 PM, et al. Diagnostic accuracy of a deep learning model for pterygium detection in Barcelos, Brazilian Amazon. Arq. Bras. Oftalmol. 2025;88(6):. 10.5935/0004-2749.2025-0053}

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