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...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2021-09-01
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Series: | Head & Face Medicine |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13005-021-00292-0 |