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Research Article

Oral Cancer Detection Using Deep Learning

Koustubha S1 Srividya C N2 Leela D C3 Namrata N Gowda4
1234 Department of Electronics and Communication Engineering, BGSIT, BG Nagara, Karnataka, India.

Published Online: May-June 2024

Pages: 195-202

References

[1] Roshan Alex Welikala, Paolo Remagnino et. al., “Automated Detection and Classification of Oral Lesions Using Deep Learning for
Early Detection of Oral Cancer,” Annu. Rev. Neurosci., Digital Object Identifier 10.1109/ACCESS.2020.3010180, VOLUME 8, 2020
[2] Shipu Xu, Chang Liu, Yongshuo Zong et al., “An Early Diagnosis of Oral Cancer based on Three-Dimensional Convolution Neural
Networks”, http://creativecommons.org/licenses/by/4.0/ VOLUME 7, 2019 IEEE 10.1109/ACCESS.2019.2950286
[3] Amy F. Ziober,Kirtesh R. Patel,Faizan Alawi, Phyllis Gimotty,4 Randall S. Weber, MichaelM. Feldman,Ara A. Chalian,Gregory S.
Weinstein,Jennifer Hunt, and Barry L. Ziober, Identification of a Gene Signature for Rapid Screening of Oral Squamous Cell
Carcinoma, American Association for Cancer (2018).
[4] Tabassum Begum, Prof. Gayatri Mugli, Oral Cancer Prediction Using Machine Learning, Volume:05/Issue:08/August-2023,
International Research Journal of Modernization in Engineering Technology and Science.
[5] Dr. K. Padmavathi, C. Deepa, A Predictive Model for Early Detection of Oral Cancer via Adaboost Classification Technique”,
International Journal for Multidisciplinary Research (IJFMR), Volume 5, Issue 4, July-August 2023.
[6] Panigrahi S, Das J, Swarnkar T. Capsule network based analysis of histopathological images of oral squamous cell carcinoma. J
King Saud Univ Comput Inform Sci. (2020) doi: 10.1016/j.jksuci.2020.11.003
[7] Sunny S, Baby A, James BL, Balaji D, Rana MH, Gurpur P, et al. A smart tele-cytology point-of-care platform for oral cancer
screening. PLoS ONE. (2019) 14:e0224885. doi: 10.1371/journal.pone.0224885
[8] Nanditha BR, Geetha A, Chandrashekar HS, Dinesh MS, Murali S. An ensemble deep neural network approach for oral cancer
screening. Int J Online Biomed Eng. (2021) 17:121. doi: 10.3991/ijoe.v17i02.19207
[9] Jubair F, Al-karadsheh O, Malamos D, Al Mahdi S, Saad Y, Hassona Y. A novel lightweight deep convolutional neural network for
early detection of oral cancer.
[10] Kouznetsova VL, Li J, Romm E, Tsigelny IF. Finding distinctions between oral cancer and periodontitis using saliva metabolites and
machine learning. Oral Diseases. (2021) 27:484–93. doi: 10.1111/odi.13591 82. Welikala RA, Remagnino P, Lim JH, Chan CS, R.

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