Automated microscopy for routine malaria diagnosis: a field comparison on Giemsa-stained blood films in Peru

Automated microscopy for routine malaria diagnosis: a field comparison on Giemsa-stained blood films in Peru

Abstract Background Microscopic examination of Giemsa-stained blood films remains a major form of diagnosis in malaria case management, and is a reference standard for research. However, as with other visualization-based diagnoses, accuracy depends on individual technician performance, making standa...

Full description

Bibliographic Details
Main Authors: Katherine Torres, Christine M. Bachman, Charles B. Delahunt, Jhonatan Alarcon Baldeon, Freddy Alava, Dionicia Gamboa Vilela, Stephane Proux, Courosh Mehanian, Shawn K. McGuire, Clay M. Thompson, Travis Ostbye, Liming Hu, Mayoore S. Jaiswal, Victoria M. Hunt, David Bell
Format: Article
Language:English
Published: BMC 2018-09-01
Series:Malaria Journal
Subjects:
Malaria
Convolutional neural networks
Microscopy
Digital microscopy
Artificial intelligence
Online Access:http://link.springer.com/article/10.1186/s12936-018-2493-0

Internet

http://link.springer.com/article/10.1186/s12936-018-2493-0

Similar Items