Hyperspectral Imaging for the Detection of Glioblastoma Tumor Cells in H&E Slides Using Convolutional Neural Networks

Hyperspectral imaging (HSI) technology has demonstrated potential to provide useful information about the chemical composition of tissue and its morphological features in a single image modality. Deep learning (DL) techniques have demonstrated the ability of automatic feature extraction from data fo...

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Detalles Bibliográficos
Autores principales: Ortega, Samuel, Halicek, Martin, Fabelo, Himar, Camacho, Rafael, Plaza, María de la Luz, Godtliebsen, Fred, M. Callicó, Gustavo, Fei, Baowei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181269/
https://www.ncbi.nlm.nih.gov/pubmed/32235483
http://dx.doi.org/10.3390/s20071911

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181269/
https://www.ncbi.nlm.nih.gov/pubmed/32235483
http://dx.doi.org/10.3390/s20071911

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