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Video game culture / Plasmodium / Gamer / Plasmodium falciparum / The Gamers / Medical diagnosis / Pathology / Diagnosis of malaria / Medical imaging / Medicine / Health / Malaria


Distributed Medical Image Analysis and Diagnosis through Crowd-Sourced Games: A Malaria Case Study Sam Mavandadi1, Stoyan Dimitrov1, Steve Feng1, Frank Yu1, Uzair Sikora1, Oguzhan Yaglidere1, Swati Padmanabhan1, Karin Ni
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Document Date: 2012-05-11 19:45:44

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File Size: 4,29 MB

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City

Monterey / II / Vancouver / Vienna / /

Company

Adobe / US OY / Dempster AG / Creative Commons / Improved / /

Continent

Africa / /

Country

Austria / United States / Canada / /

Currency

USD / /

/

Facility

University of California Los Angeles / California NanoSystems Institute / Dr. Omai Garner / /

IndustryTerm

healthcare community / machine learning algorithms / educational tool / health-care policy makers / bank/collect / computer vision algorithms / machine vision algorithms / microscopic imaging / treatment of malaria / machine algorithm / centralised data collection/processing / blood bank button / syringe tool / mainstream malaria diagnostics tools / health applications / imaging / Web Security Measures / vision-based algorithm / 100X oil-immersion / telemedicine applications / communications system analogy / communications system / healthcare professionals / internet browser / compact wide-field fluorescent imaging / machine-vision algorithm / communications systems / brief online tutorial / real-time feedback / overall solution / microscopic analysis tools / internet technologies / noisy communication network / biomedical and environmental applications / smart network / pre-trained machine learning algorithms / Internet Explorer / communications system consisting / /

MedicalCondition

parasitemia rate / parasitic infection / mainstream malaria / disease / malaria / infectious outbreaks / contraction / diseases / crowd-sourced gaming-based malaria / infectious disease / /

NaturalFeature

Binary Symmetric Channel / Binary Channel / /

OperatingSystem

Android / /

Organization

UCLA / World Health Organization / Center for Disease Control / University of California Los Angeles / Los Angeles / California NanoSystems Institute / Bioengineering Department / Department of Pediatrics / Fateh / National Academy of Sciences / Broadcast Unit / School of Medicine / Division of Infectious Diseases / US Federal Reserve / Department of Surgery / Electrical Engineering Department / /

Person

Rene Rachou / Koay Chan / Grace Chen / Ting-Wei Su / Wei Luo / Helena Carvalho / Jimmy Zhu / Justin Wong / Mayur Chaudari / Wai Cheung / Shirley Luckhart / /

Position

original author / Editor / player / Author / pathologist / /

ProgrammingLanguage

K / L / J / /

ProvinceOrState

British Columbia / California / /

PublishedMedium

Analytical Chemistry / Proceedings of the National Academy of Sciences / PLoS ONE / Communications of the ACM / /

RadioStation

Smith AM / /

Region

sub-Saharan Africa / /

Technology

machine vision algorithms / machine learning algorithms / vision-based algorithm / diagnostic tests / internet technologies / machine learning / machine algorithm / Android / operating system / PDF / mobile devices / cellular telephone / telemedicine / computer vision algorithms / machine vision / pre-trained machine learning algorithms / automated algorithm / Lab Chip / Flash / machine-vision algorithm / using our machine-vision algorithm / /

URL

www.plosone.org / http /

SocialTag