Hyperspectral imaging and artificial intelligence to detect oral malignancy – part 1 - automated tissue classification of oral muscle, fat and mucosa using a light-weight 6-layer deep neural network

Abstract Background Hyperspectral imaging (HSI) is a promising non-contact approach to tissue diagnostics, generating large amounts of raw data for whose processing computer vision (i.e. deep learning) is particularly suitable. Aim of this proof of principle study was the classification of hyperspec...

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Bibliographic Details
Main Authors: Daniel G. E. Thiem, Paul Römer, Matthias Gielisch, Bilal Al-Nawas, Martin Schlüter, Bastian Plaß, Peer W. Kämmerer
Format: Article
Language:English
Published: BMC 2021-09-01
Series:Head & Face Medicine
Subjects:
Online Access:https://doi.org/10.1186/s13005-021-00292-0