Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Accelerating the K-Nearest neighbors filtering algorithm to optimize the real-time classification of human brain tumor in hyperspectral images
Año:2018
Áreas de investigación
  • Tecnología electrónica y de las comunicaciones
Datos
Descripción
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 stages with higher computational load is the K-Nearest Neighbors (KNN) filtering algorithm. The main goal of this study is to optimize and parallelize the KNN algorithm by exploiting the GPU technology to obtain real-time processing during brain cancer surgical procedures. This parallel version of the KNN performs the neighbor filtering of a classification map (obtained from a supervised classifier), evaluating the different classes simultaneously. The undertaken optimizations and the computational capabilities of the GPU device throw a speedup up to 66.18× when compared to a sequential implementation
Internacional
Si
JCR del ISI
Si
Título de la revista
Sensors
ISSN
1424-8220
Factor de impacto JCR
2,677
Información de impacto
Datos JCR del año 2016
Volumen
DOI
10.3390/s18072314
Número de revista
Desde la página
1
Hasta la página
20
Mes
JULIO
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Giordana Florimbi (Department of Electrical, Computer and Biomedical Engineering, University of Pavia)
  • Autor: Himar Fabelo (Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC))
  • Autor: Emanuele Torti (Department of Electrical, Computer and Biomedical Engineering, University of Pavia)
  • Autor: Raquel Lazcano Lopez (UPM)
  • Autor: Daniel Madroñal Quintin (UPM)
  • Autor: Samuel Ortega (Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC))
  • Autor: Ruben Salvador Perea (UPM)
  • Autor: Francesco Leporati (Department of Electrical, Computer and Biomedical Engineering, University of Pavia)
  • Autor: Giovanni Danese (Department of Electrical, Computer and Biomedical Engineering, University of Pavia)
  • Autor: Abelardo Báez-Quevedo (Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC))
  • Autor: Gustavo Marrrero Callicó (Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC))
  • Autor: Eduardo Juarez Martinez (UPM)
  • Autor: Cesar Sanz Alvaro (UPM)
  • Autor: Roberto Sarmiento (Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC))
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Diseño Electrónico y Microelectrónico
  • Centro o Instituto I+D+i: Centro de Investigación en Tecnologías del Software y Sistemas Multimedia para la Sostenibilidad (CITSEM)
  • Departamento: Ingeniería Telemática y Electrónica
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