@inproceedings{da741ef6699e4571b1cdb6e6bf0221ef,
title = "Reliable oral cancer classification framework with Bayesian deep learning",
abstract = "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.",
author = "Bofan Song and Sumsum Sunny and Shaobai Li and G. Keerthi and Sanjana Patrick and Nirza Mukhia and Shubha Gurudath and Subhashini Raghavan and Pramila Mendonca and Tsusennaro and Leivon, {Shirley T.} and Trupti Kolur and Vivek Shetty and {Vidya Bushan}, R. and Rohan Ramesh and Vijay Pillai and Alben Sigamani and Amritha Suresh and Kuriakose, {moni Abraham} and Praveen Birur and Rongguang Liang",
note = "Publisher Copyright: {\textcopyright} OSA 2020 {\textcopyright} 2020 The Author(s); 2020 Frontiers in Optics Conference, FiO 2020 ; Conference date: 14-09-2020 Through 17-09-2020",
year = "2020",
month = sep,
day = "14",
doi = "10.1364/FIO.2020.JM6B.18",
language = "English (US)",
series = "Optics InfoBase Conference Papers",
publisher = "The Optical Society",
booktitle = "Frontiers in Optics - Proceedings Frontiers in Optics / Laser Science, Part of Frontiers in Optics + Laser Science APS/DLS, FiO 2020",
address = "United States",
}