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

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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Bibliographic Details
Main Authors: Samuel Ortega, Martin Halicek, Himar Fabelo, Rafael Camacho, María de la Luz Plaza, Fred Godtliebsen, Gustavo M. Callicó, Baowei Fei
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Sensors
Subjects:
hyperspectral imaging
medical optics and biotechnology
optical pathology
convolutional neural networks
tissue diagnostics
tissue characterization
Online Access:https://www.mdpi.com/1424-8220/20/7/1911

Internet

https://www.mdpi.com/1424-8220/20/7/1911

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