Point-of-care, smartphone-based, dual-modality, dual-view, oral cancer screening device with neural network classification for low-resource communities

Oral cancer is a growing health issue in a number of low- and middle-income countries (LMIC), particularly in South and Southeast Asia. The described dual-modality, dual-view, point-of-care oral cancer screening device, developed for high-risk populations in remote regions with limited infrastructur...

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Bibliographic Details
Published in:	PloS one Vol. 13; no. 12; p. e0207493
Main Authors:	Uthoff, Ross D., Song, Bofan, Sunny, Sumsum, Patrick, Sanjana, Suresh, Amritha, Kolur, Trupti, Keerthi, G., Spires, Oliver, Anbarani, Afarin, Wilder-Smith, Petra, Kuriakose, Moni Abraham, Birur, Praveen, Liang, Rongguang
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 05.12.2018 Public Library of Science (PLoS)
Subjects:	Applications programs Artificial neural networks Bioengineering Cancer Cancer screening Classification Cloud Computing Computer and Information Sciences Data processing Diagnosis Diagnostic tests Early Detection of Cancer - instrumentation Early Detection of Cancer - methods Electronic mail systems Engineering and Technology Fluorescence Health care Health care costs Health risks Humans Image classification LEDs Lesions Light emitting diodes Low income groups Medical diagnosis Medical economics Medical imaging Medical imaging equipment Medical screening Medicine and Health Sciences Methyltestosterone Mobile Applications Morbidity Mortality Mouth cancer Mouth Neoplasms - diagnosis Neural networks Neural Networks, Computer Optical Imaging Optics Oral cancer Oral cavity Point of care testing Point-of-Care Systems Poverty Remote regions Research funding Security devices Sensitivity and Specificity Smart phones Smartphone - instrumentation Smartphones Spectrum analysis Tobacco White light California United States > US Arizona India
ISSN:	1932-6203, 1932-6203
Online Access:	Get full text
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