Reliable oral cancer classification framework with Bayesian deep learning

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


Standard deep learning algorithms for clinical image classification are unable to understand their confidence in a decision. We developed a Bayesian deep network could estimate uncertainty to assess the reliability of oral cancer image classification.

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
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


Conference2020 Frontiers in Optics Conference, FiO 2020
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials


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