Ontology highlight
ABSTRACT: Background
Malaria is a public health problem that affects remote areas worldwide. Climate change has contributed to the problem by allowing for the survival of Anopheles in previously uninhabited areas. As such, several groups have made developing news systems for the automated diagnosis of malaria a priority.Objective
The objective of this study was to develop a new, automated, mobile device-based diagnostic system for malaria. The system uses Giemsa-stained peripheral blood samples combined with light microscopy to identify the Plasmodium falciparum species in the ring stage of development.Methods
The system uses image processing and artificial intelligence techniques as well as a known face detection algorithm to identify Plasmodium parasites. The algorithm is b
SUBMITTER: Oliveira AD
PROVIDER: S-EPMC5424126 | biostudies-literature | 2017 Apr
REPOSITORIES: biostudies-literature