Hyperspectral Superpixel-Wise Glioblastoma Tumor Detection in Histological Samples

Hyperspectral Superpixel-Wise Glioblastoma Tumor Detection in Histological Samples

The combination of hyperspectral imaging (HSI) and digital pathology may yield more accurate diagnosis. In this work, we propose the use of superpixels in HS images for combining regions of pixels that can be classified according to their spectral information to classify glioblastoma (GB) brain tumo...

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Bibliographic Details
Main Authors: Samuel Ortega, Himar Fabelo, Martin Halicek, Rafael Camacho, María de la Luz Plaza, Gustavo M. Callicó, Baowei Fei
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Applied Sciences
Subjects:
hyperspectral imaging
optics diagnosis
digital pathology
superpixel
machine learning
tissue diagnostics
Online Access:https://www.mdpi.com/2076-3417/10/13/4448

Internet

https://www.mdpi.com/2076-3417/10/13/4448

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