Deep learning based oral cancer image classification for imbalanced dataset

Bofan Song, Sumsum Sunny, Shaobai Li, G. Keerthi, Sanjana Patrick, Nirza Mukhia, Shubha Gurudath, Subhashini Raghavan, Pramila Mendonca, Tsusennaro, Shirley T. Leivon, Trupti Kolur, Vivek Shetty, R. Vidya Bushan, Rohan Ramesh, Vijay Pillai, Alben Sigamani, Amritha Suresh, moni Abraham Kuriakose, Praveen BirurRongguang Liang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We use both data- and algorithm-level methods to improve the neural network performance of oral cancer image classification with imbalanced multi-class dataset captured from high-risk populations during oral cancer screening.

Original languageEnglish (US)
Title of host publicationFrontiers in Optics - Proceedings Frontiers in Optics / Laser Science, Part of Frontiers in Optics + Laser Science APS/DLS, FiO 2020
PublisherThe Optical Society
ISBN (Electronic)9781557528209
DOIs
StatePublished - Sep 14 2020
Event2020 Frontiers in Optics Conference, FiO 2020 - Washington, United States
Duration: Sep 14 2020Sep 17 2020

Publication series

NameOptics InfoBase Conference Papers

Conference

Conference2020 Frontiers in Optics Conference, FiO 2020
CountryUnited States
CityWashington
Period9/14/209/17/20

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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