A proposal for automatic diagnosis of malaria
Allisson Dantas de Oliveira, Giordano Ribeiro Eulalio Cabral, Daniel López, Caetano Firmo, F. Zarzuela Serrat, Jones de Oliveira Albuquerque · 2013
This paper presents a methodology for automatic diagnosis of malaria using computer vision techniques combined with artificial intelligence. We had obtained an accuracy rate of 74% in the detection system.