Validation of a Point-of-Care Optical Coherence Tomography Device with Machine Learning Algorithm for Detection of Oral Potentially Malignant and Malignant Lesions

Validation of a Point-of-Care Optical Coherence Tomography Device with Machine Learning Algorithm for Detection of Oral Potentially Malignant and Malignant Lesions

Non-invasive strategies that can identify oral malignant and dysplastic oral potentially-malignant lesions (OPML) are necessary in cancer screening and long-term surveillance. Optical coherence tomography (OCT) can be a rapid, real time and non-invasive imaging method for frequent patient surveillan...

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Bibliographic Details
Main Authors: Bonney Lee James, Sumsum P. Sunny, Andrew Emon Heidari, Ravindra D. Ramanjinappa, Tracie Lam, Anne V. Tran, Sandeep Kankanala, Shiladitya Sil, Vidya Tiwari, Sanjana Patrick, Vijay Pillai, Vivek Shetty, Naveen Hedne, Darshat Shah, Nameeta Shah, Zhong-ping Chen, Uma Kandasarma, Subhashini Attavar Raghavan, Shubha Gurudath, Praveen Birur Nagaraj, Petra Wilder-Smith, Amritha Suresh, Moni Abraham Kuriakose
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Cancers
Subjects:
optical coherence tomography
oral cancer
oral squamous cell carcinoma
oral potentially malignant lesions
pre-malignant lesions
artificial neural network
Online Access:https://www.mdpi.com/2072-6694/13/14/3583

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https://www.mdpi.com/2072-6694/13/14/3583

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