TY  - GEN 
AU  - Álvarez-Rodríguez, L.
AU  - de Moura Ramos, José Joaquim
AU  - Novo Buján, Jorge
AU  - Ortega Hortas, Marcos
PY  - 2022
SN  - 1471-2288
UR  - http://hdl.handle.net/20.500.11940/20492
AB  - Background: The health crisis resulting from the global COVID-19 pandemic highlighted more than ever the need for rapid, reliable and safe methods of diagnosis and monitoring of respiratory diseases. To study pulmonary involvement in detail, one of...
LA  - eng
TI  - Does imbalance in chest X-ray datasets produce biased deep learning approaches for COVID-19 screening?
DO  - 10.1186/s12874-022-01578-w
KW  - AS Coruña
KW  - INIBIC
VL  - 22
ER  -