Presentation
9 March 2020 Dual-modal oral cancer screening platform and automatic classification algorithm for low-resource settings (Conference Presentation)
Author Affiliations +
Abstract
Oral cancer is one of the most common malignant tumors. There are 354,864 new cases and 177,384 death per year globally according to Globocan 2018 report. Most of the cases are in low- and middle-income countries that lack trained specialists and health services, of which India accounts for approximately one-third of the new cases and two-fifth deaths. Point-of-care oral screening tool to enable early diagnosis is urgently needed. We developed a dual-mode intraoral oral cancer screening platform and an automatic classification algorithm for oral dysplasia and malignancy images using deep learning.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bofan Song, Sumsum Sunny, Ross D. Uthoff, Sanjana Patrick, Amritha Suresh, Trupti Kolur, G. Keerthi, Afarin Anbarani, Petra Wilder-Smith, Moni A. Kuriakose, Praveen Birur, Jeffrey J. Rodriguez, and Rongguang Liang "Dual-modal oral cancer screening platform and automatic classification algorithm for low-resource settings (Conference Presentation)", Proc. SPIE 11230, Optics and Biophotonics in Low-Resource Settings VI, 112300V (9 March 2020); https://doi.org/10.1117/12.2552213
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