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 Birur; Rongguang Liang

doi:10.1364/FIO.2020.JW6A.9

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

Optical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Frontiers in Optics - Proceedings Frontiers in Optics / Laser Science, Part of Frontiers in Optics + Laser Science APS/DLS, FiO 2020
Publisher	Optica Publishing Group (formerly OSA)
ISBN (Electronic)	9781943580804
DOIs	https://doi.org/10.1364/FIO.2020.JW6A.9
State	Published - Sep 14 2020
Event	2020 Frontiers in Optics Conference, FiO 2020 - Washington, United States Duration: Sep 14 2020 → Sep 17 2020

Publication series

Name	Optics InfoBase Conference Papers
ISSN (Electronic)	2162-2701

Conference

Conference	2020 Frontiers in Optics Conference, FiO 2020
Country/Territory	United States
City	Washington
Period	9/14/20 → 9/17/20

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

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10.1364/FIO.2020.JW6A.9

Cite this

Song, B., Sunny, S., Li, S., Keerthi, G., Patrick, S., Mukhia, N., Gurudath, S., Raghavan, S., Mendonca, P., Tsusennaro, Leivon, S. T., Kolur, T., Shetty, V., Vidya Bushan, R., Ramesh, R., Pillai, V., Sigamani, A., Suresh, A., Kuriakose, M. A., ... Liang, R. (2020). Deep learning based oral cancer image classification for imbalanced dataset. In Frontiers in Optics - Proceedings Frontiers in Optics / Laser Science, Part of Frontiers in Optics + Laser Science APS/DLS, FiO 2020 Article JW6A.9 (Optics InfoBase Conference Papers). Optica Publishing Group (formerly OSA). https://doi.org/10.1364/FIO.2020.JW6A.9

Deep learning based oral cancer image classification for imbalanced dataset. / Song, Bofan; Sunny, Sumsum; Li, Shaobai et al.
Frontiers in Optics - Proceedings Frontiers in Optics / Laser Science, Part of Frontiers in Optics + Laser Science APS/DLS, FiO 2020. Optica Publishing Group (formerly OSA), 2020. JW6A.9 (Optics InfoBase Conference Papers).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Song, B, Sunny, S, Li, S, Keerthi, G, Patrick, S, Mukhia, N, Gurudath, S, Raghavan, S, Mendonca, P, Tsusennaro, Leivon, ST, Kolur, T, Shetty, V, Vidya Bushan, R, Ramesh, R, Pillai, V, Sigamani, A, Suresh, A, Kuriakose, MA, Birur, P & Liang, R 2020, Deep learning based oral cancer image classification for imbalanced dataset. in Frontiers in Optics - Proceedings Frontiers in Optics / Laser Science, Part of Frontiers in Optics + Laser Science APS/DLS, FiO 2020., JW6A.9, Optics InfoBase Conference Papers, Optica Publishing Group (formerly OSA), 2020 Frontiers in Optics Conference, FiO 2020, Washington, United States, 9/14/20. https://doi.org/10.1364/FIO.2020.JW6A.9

Song B, Sunny S, Li S, Keerthi G, Patrick S, Mukhia N et al. Deep learning based oral cancer image classification for imbalanced dataset. In Frontiers in Optics - Proceedings Frontiers in Optics / Laser Science, Part of Frontiers in Optics + Laser Science APS/DLS, FiO 2020. Optica Publishing Group (formerly OSA). 2020. JW6A.9. (Optics InfoBase Conference Papers). doi: 10.1364/FIO.2020.JW6A.9

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title = "Deep learning based oral cancer image classification for imbalanced dataset",

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.",

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",

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doi = "10.1364/FIO.2020.JW6A.9",

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AU - Song, Bofan

AU - Sunny, Sumsum

AU - Li, Shaobai

AU - Keerthi, G.

AU - Patrick, Sanjana

AU - Mukhia, Nirza

AU - Gurudath, Shubha

AU - Raghavan, Subhashini

AU - Mendonca, Pramila

AU - Tsusennaro,

AU - Leivon, Shirley T.

AU - Kolur, Trupti

AU - Shetty, Vivek

AU - Vidya Bushan, R.

AU - Ramesh, Rohan

AU - Pillai, Vijay

AU - Sigamani, Alben

AU - Suresh, Amritha

AU - Kuriakose, moni Abraham

AU - Birur, Praveen

AU - Liang, Rongguang

PY - 2020/9/14

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N2 - 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.

AB - 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.

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T3 - Optics InfoBase Conference Papers

BT - Frontiers in Optics - Proceedings Frontiers in Optics / Laser Science, Part of Frontiers in Optics + Laser Science APS/DLS, FiO 2020

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ER -

Deep learning based oral cancer image classification for imbalanced dataset

Abstract

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Conference

ASJC Scopus subject areas

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