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

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 hyperspectral (HS...

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Detalles Bibliográficos
Autores principales: Thiem, Daniel G. E., Römer, Paul, Gielisch, Matthias, Al-Nawas, Bilal, Schlüter, Martin, Plaß, Bastian, Kämmerer, Peer W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8414848/
https://www.ncbi.nlm.nih.gov/pubmed/34479595
http://dx.doi.org/10.1186/s13005-021-00292-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8414848/
https://www.ncbi.nlm.nih.gov/pubmed/34479595
http://dx.doi.org/10.1186/s13005-021-00292-0

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