Open AccessRemote analysis of sputum smears for mycobacterium tuberculosis quantification using digital crowdsourcing
Author(s) -
Lara García Delgado,
María Postigo,
Daniel Cuadrado,
Sara Gil-Casanova,
A Martinez Martinez,
María José Pedraja Linares,
Paloma Merino,
Manuel Gimo,
Silvia Blanco,
Quique Bassat,
A. Santos,
Alberto L. GarcíaBasteiro,
María J. Ledesma-Carbayo,
Miguel Luengo-Oroz
Publication year - 2022
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0268494
Subject(s) - sputum , tuberculosis , mycobacterium tuberculosis , acid fast , medicine , bacilli , predictive value , crowdsourcing , case finding , pathology , computer science , biology , world wide web , bacteria , genetics