Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Verena Ojeda"'
Autor:
Olivia Cardozo, Verena Ojeda, Rodrigo Parra, Julio César Mello-Román, José Luis Vázquez Noguera, Miguel García-Torres, Federico Divina, Sebastian A. Grillo, Cynthia Villalba, Jacques Facon, Veronica Elisa Castillo Benítez, Ingrid Castro Matto, Diego Aquino-Brítez
Publikováno v:
Data in Brief, Vol 48, Iss , Pp 109056- (2023)
Toxoplasmosis chorioretinitis is commonly diagnosed by an ophthalmologist through the evaluation of the fundus images of a patient. Early detection of these lesions may help to prevent blindness. In this article we present a data set of fundus images
Externí odkaz:
https://doaj.org/article/89d10ae880434a6f898d701e17bf726a
Autor:
Rodrigo Parra, Verena Ojeda, Jose Luis Vázquez Noguera, Miguel García-Torres, Julio César Mello-Román, Cynthia Villalba, Jacques Facon, Federico Divina, Olivia Cardozo, Verónica Elisa Castillo, Ingrid Castro Matto
Publikováno v:
Diagnostics, Vol 11, Iss 11, p 1951 (2021)
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 fro
Externí odkaz:
https://doaj.org/article/e9222ee88e094a61ab31e5560289cf84
Autor:
Rodrigo, Parra, Verena, Ojeda, José Luis, Vázquez Noguera, Miguel, García Torres, Julio César, Mello Román, Cynthia, Villalba, Jacques, Facon, Federico, Divina, Olivia, Cardozo, Verónica Elisa, Castillo, Ingrid, Castro Matto
Publikováno v:
Studies in health technology and informatics. 281
Ocular toxoplasmosis (OT) is commonly diagnosed through the analysis of fundus images of the eye by a specialist. Despite Deep Learning being widely used to process and recognize pathologies in medical images, the diagnosis of ocular toxoplasmosis(OT
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::8735a6b011579cff0e1278ed9301152a
https://pubmed.ncbi.nlm.nih.gov/34042728
https://pubmed.ncbi.nlm.nih.gov/34042728