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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Detalles Bibliográficos
Autores principales: Florimbi, Giordana, Fabelo, Himar, Torti, Emanuele, Lazcano, Raquel, Madroñal, Daniel, Ortega, Samuel, Salvador, Ruben, Leporati, Francesco, Danese, Giovanni, Báez-Quevedo, Abelardo, Callicó, Gustavo M., Juárez, Eduardo, Sanz, César, Sarmiento, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068477/
https://www.ncbi.nlm.nih.gov/pubmed/30018216
http://dx.doi.org/10.3390/s18072314

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068477/
https://www.ncbi.nlm.nih.gov/pubmed/30018216
http://dx.doi.org/10.3390/s18072314

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