Machine-Learning Assisted Discrimination of Precancerous and Cancerous from Healthy Oral Tissue Based on Multispectral Autofluorescence Lifetime Imaging Endoscopy

Machine-Learning Assisted Discrimination of Precancerous and Cancerous from Healthy Oral Tissue Based on Multispectral Autofluorescence Lifetime Imaging Endoscopy

Multispectral autofluorescence lifetime imaging (maFLIM) can be used to clinically image a plurality of metabolic and biochemical autofluorescence biomarkers of oral epithelial dysplasia and cancer. This study tested the hypothesis that maFLIM-derived autofluorescence biomarkers can be used in machi...

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Bibliographic Details
Main Authors: Elvis Duran-Sierra, Shuna Cheng, Rodrigo Cuenca, Beena Ahmed, Jim Ji, Vladislav V. Yakovlev, Mathias Martinez, Moustafa Al-Khalil, Hussain Al-Enazi, Yi-Shing Lisa Cheng, John Wright, Carlos Busso, Javier A. Jo
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Cancers
Subjects:
oral cancer and dysplasia
positive surgical margin detection
multispectral autofluorescence lifetime imaging (maFLIM)
autofluorescence biomarkers
machine learning
Online Access:https://www.mdpi.com/2072-6694/13/19/4751

Internet

https://www.mdpi.com/2072-6694/13/19/4751

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