Signal to noise ratio quantifies the contribution of spectral channels to classification of human head and neck tissues ex vivo using deep learning and multispectral imaging

SIGNIFICANCE: Accurate identification of tissues is critical for performing safe surgery. Combining multispectral imaging (MSI) with deep learning is a promising approach to increasing tissue discrimination and classification. Evaluating the contributions of spectral channels to tissue discriminatio...

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Detalles Bibliográficos
Autores principales: Liu, George S., Shenson, Jared A., Farrell, Joyce E., Blevins, Nikolas H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2023
Materias:
Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884103/
https://www.ncbi.nlm.nih.gov/pubmed/36726664
http://dx.doi.org/10.1117/1.JBO.28.1.016004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884103/
https://www.ncbi.nlm.nih.gov/pubmed/36726664
http://dx.doi.org/10.1117/1.JBO.28.1.016004

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