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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

Crossref DOI link: https://doi.org/10.1186/s13005-021-00292-0

Published Online: 2021-09-03

Published Print: 2021-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Thiem, Daniel G. E. http://orcid.org/0000-0002-4081-1487
Römer, Paul

Gielisch, Matthias

Al-Nawas, Bilal

Schlüter, Martin

Plaß, Bastian

Kämmerer, Peer W.
Funding

Funding for this research was provided by:

Johannes Gutenberg-Universität Mainz
License Information

Text and Data Mining valid from 2021-09-03

Version of Record valid from 2021-09-03
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Article History

Received: 25 November 2020

Accepted: 25 August 2021

First Online: 3 September 2021

Declarations

:

: The study was approved by the local ethic committee of Rhineland-Palatinate (registration number: 2020–14952) and was conducted in accordance with the protocol and in compliance with the moral, ethical and scientific principles governing clinical research as set out in the Declaration of Helsinki of 1975 as revised in 1983. Informed consent was obtained from all individual participants included in the study.

: Not applicable.

: The authors declare that they have no competing interests.

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