A Trust-Based Methodology to Evaluate Deep Learning Models for Automatic Diagnosis of Ocular Toxoplasmosis from Fundus Images

In the automatic diagnosis of ocular toxoplasmosis (OT), Deep Learning (DL) has arisen as a powerful and promising approach for diagnosis. However, despite the good performance of the models, decision rules should be interpretable to elicit trust from the medical community. Therefore, the developmen...

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Detalles Bibliográficos
Autores principales: Parra, Rodrigo, Ojeda, Verena, Vázquez Noguera, Jose Luis, García-Torres, Miguel, Mello-Román, Julio César, Villalba, Cynthia, Facon, Jacques, Divina, Federico, Cardozo, Olivia, Castillo, Verónica Elisa, Matto, Ingrid Castro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8617957/
https://www.ncbi.nlm.nih.gov/pubmed/34829299
http://dx.doi.org/10.3390/diagnostics11111951

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8617957/
https://www.ncbi.nlm.nih.gov/pubmed/34829299
http://dx.doi.org/10.3390/diagnostics11111951

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