TY  - JOUR 
AU  - Parra, Rodrigo
AU  - Ojeda, Verena
AU  - Vázquez Noguera, José Luis
AU  - García Torres, Miguel
AU  - Mello Román, Julio César
AU  - Villalba Cardozo, Cynthia Emilia
AU  - Facon, Jacques
AU  - Divina, Federico
AU  - Cardozo, Olivia
AU  - Castillo, Veronica Elisa
AU  - Castro Matto, Ingrid
AU  - Universidad Nacional de Asunción - Facultad Politécnica
AU  - Universidad Americana (PY)
AU  - Universidad Pablo de Olavide (ES)
PY  - 2021
UR  - http://hdl.handle.net/20.500.14066/3791
AB  - 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...
LA  - eng
KW  - 1303 I+D en relación con las Ciencias médicas
KW  - DEEP LEARNING
KW  - OCULAR TOXOPLASMOSIS
KW  - MACHINE LEARNING INTERPRETABILITY
TI  - A Trust-Based Methodology to Evaluate Deep Learning Models for Automatic Diagnosis of Ocular Toxoplasmosis from Fundus Images.
T2  - Diagnostics
VL  - 11
ER  -