Automatic classification of dual-modalilty, smartphone-based oral dysplasia and malignancy images using deep learning

With the goal to screen high-risk populations for oral cancer in low- and middle-income countries (LMICs), we have developed a low-cost, portable, easy to use smartphone-based intraoral dual-modality imaging platform. In this paper we present an image classification approach based on autofluorescenc...

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Библиографические подробности
Опубликовано в: :Biomed Opt Express
Главные авторы: Song, Bofan, Sunny, Sumsum, Uthoff, Ross D., Patrick, Sanjana, Suresh, Amritha, Kolur, Trupti, Keerthi, G., Anbarani, Afarin, Wilder-Smith, Petra, Kuriakose, Moni Abraham, Birur, Praveen, Rodriguez, Jeffrey J., Liang, Rongguang
Формат: Artigo
Язык:Inglês
Опубликовано: Optical Society of America 2018
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Article
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC6238918/
https://ncbi.nlm.nih.gov/pubmed/30460130
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.9.005318
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