TY  - GEN 
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, Verónica Elisa
AU  - Castro Matto, Ingrid
A4  - Universidad Americana/INCADE S.A.E
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
PB  - Multidisciplinary Digital Publishing Institute
KW  - 7. Salud
KW  - 7.3. Prevención, vigilancia y control de enfermedades transmisibles y no transmisibles
KW  - Deep learning
KW  - Machine learning interpretability
KW  - Ocular toxoplasmosis
KW  - Trust
TI  - A trust-based methodology to evaluate deep learning models for automatic diagnosis of ocular toxoplasmosis from fundus images
VL  - 11
ER  -