Parallel K-Means Clustering for Brain Cancer Detection Using Hyperspectral Images

Parallel K-Means Clustering for Brain Cancer Detection Using Hyperspectral Images

The precise delineation of brain cancer is a crucial task during surgery. There are several techniques employed during surgical procedures to guide neurosurgeons in the tumor resection. However, hyperspectral imaging (HSI) is a promising non-invasive and non-ionizing imaging technique that could imp...

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Bibliographic Details
Main Authors: Emanuele Torti, Giordana Florimbi, Francesca Castelli, Samuel Ortega, Himar Fabelo, Gustavo Marrero Callicó, Margarita Marrero-Martin, Francesco Leporati
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Electronics
Subjects:
Graphics Processing Units (GPUs)
CUDA
OpenMP
OpenCL
K-means
brain cancer detection
hyperspectral imaging
unsupervised clustering
Online Access:https://www.mdpi.com/2079-9292/7/11/283

Internet

https://www.mdpi.com/2079-9292/7/11/283

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