Accelerating the K-Nearest Neighbors Filtering Algorithm to Optimize the Real-Time Classification of Human Brain Tumor in Hyperspectral Images

Accelerating the K-Nearest Neighbors Filtering Algorithm to Optimize the Real-Time Classification of Human Brain Tumor in Hyperspectral Images

The use of hyperspectral imaging (HSI) in the medical field is an emerging approach to assist physicians in diagnostic or surgical guidance tasks. However, HSI data processing involves very high computational requirements due to the huge amount of information captured by the sensors. One of the stag...

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Bibliographic Details
Main Authors: Giordana Florimbi, Himar Fabelo, Emanuele Torti, Raquel Lazcano, Daniel Madroñal, Samuel Ortega, Ruben Salvador, Francesco Leporati, Giovanni Danese, Abelardo Báez-Quevedo, Gustavo M. Callicó, Eduardo Juárez, César Sanz, Roberto Sarmiento
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Sensors
Subjects:
K-nearest neighbors filtering
hyperspectral imaging instrumentation
brain cancer detection
image processing
graphics processing units
Online Access:http://www.mdpi.com/1424-8220/18/7/2314

Internet

http://www.mdpi.com/1424-8220/18/7/2314

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