Open AccessAutomatic detection of the parasite Trypanosoma cruzi in blood smears using a machine learning approach applied to mobile phone images
Author(s) -
Mauro César Cafundó de Morais,
Diogo Silva,
Matheus Marques Milagre,
Maykon Tavares de Oliveira,
Thaís dos Santos Fontes Pereira,
João Silva,
Luciano da Fontoura Costa,
Paola Minoprio,
Roberto M. César,
Ricardo T. Gazzinelli,
Marta de Lana,
Helder I. Nakaya
Publication year - 2022
Publication title -
peerj
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.927
H-Index - 70
ISSN - 2167-8359
DOI - 10.7717/peerj.13470
Subject(s) - artificial intelligence , mobile phone , computer science , receiver operating characteristic , trypanosoma cruzi , computer vision , chagas disease , curvature , microscope , random forest , pattern recognition (psychology) , pathology , parasite hosting , mathematics , medicine , machine learning , telecommunications , geometry , world wide web