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Proceedings Paper

Dual-modal oral cancer screening platform and automatic classification algorithm for low-resource settings (Conference Presentation)

Paper 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.

Paper Details

Date Published: 9 March 2020
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Proc. SPIE 11230, Optics and Biophotonics in Low-Resource Settings VI, 112300V (9 March 2020);
Show Author Affiliations
Bofan Song, Wyant College of Optical Sciences (United States)
Sumsum Sunny, Mazumdar Shaw Medical Ctr. (India)
Ross D. Uthoff, Wyant College of Optical Sciences (United States)
Sanjana Patrick, Biocon Foundation (India)
Amritha Suresh, Mazumdar Shaw Medical Ctr. (India)
Trupti Kolur, Mazumdar Shaw Medical Ctr. (India)
G. Keerthi, K.L.E. Society's Institute of Dental Sciences (India)
Afarin Anbarani, Beckman Laser Institute and Medical Clinic (United States)
Univ. of California, Irvine (United States)
Petra Wilder-Smith, Beckman Laser Institute and Medical Clinic (United States)
Univ. of California, Irvine (United States)
Moni A. Kuriakose, Mazumdar Shaw Medical Ctr. (India)
Praveen Birur, K.L.E. Society's Institute of Dental Sciences (India)
Jeffrey J. Rodriguez, The Univ. of Arizona (United States)
Rongguang Liang, Wyant College of Optical Sciences (United States)


Published in SPIE Proceedings Vol. 11230:
Optics and Biophotonics in Low-Resource Settings VI
David Levitz; Aydogan Ozcan, Editor(s)

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