Distributed Medical Image Analysis and Diagnosis through Crowd-Sourced Games: A Malaria Case Study

In this work we investigate whether the innate visual recognition and learning capabilities of untrained humans can be used in conducting reliable microscopic analysis of biomedical samples toward diagnosis. For this purpose, we designed entertaining digital games that are interfaced with artificial...

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Veröffentlicht in:	PloS one Jg. 7; H. 5; S. e37245
Hauptverfasser:	Mavandadi, Sam, Dimitrov, Stoyan, Feng, Steve, Yu, Frank, Sikora, Uzair, Yaglidere, Oguzhan, Padmanabhan, Swati, Nielsen, Karin, Ozcan, Aydogan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 11.05.2012 Public Library of Science (PLoS)
Schlagworte:	Algorithms Artificial Intelligence Automation Blood cells Blood Cells - parasitology Case studies Computer & video games Crowdsourcing Decisions Diagnosis Diagnosis, Computer-Assisted Electrical engineering Engineering Erythrocytes Experts Games, Experimental Humans Identification Image analysis Image Interpretation, Computer-Assisted - methods Image processing Information theory Malaria Malaria - blood Malaria - diagnosis Malaria - parasitology Medical diagnosis Medical imaging equipment Medicine Microscopic analysis Microscopy Parasites Pattern Recognition, Automated Pattern Recognition, Visual Physics Problem Solving Social and Behavioral Sciences Telemedicine Vector-borne diseases Vegetables Video Games Vision systems Visual discrimination learning Los Angeles California United States > US California
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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