Observatorio de I+D+i UPM

Memorias de investigación
Book chapters:
Dendrite Spine Detection - A Supervoxel Based Approach
Year:2014
Research Areas
  • Neuroimage,
  • Processing and signal analysis,
  • Image processing
Information
Abstract
n neurobiology, the identification and reconstruction of dendritic spines from large microscopy image datasets is an important tool for the study of neuronal functions and biophysical properties. But the problem of how to automatically and accurately detect and analyse structural information from dendrites images in 3D confocal microscopy has not been completely solved. We propose an novel approach to detect and extract dendritic spines regardless their size o type, for images stacks result of 3D confocal microscopy. This method is based on supervoxel segmentation and their classification using a number of different, complementary algorithms.
International
Si
10.1007/978-3-319-08729-0_37
Book Edition
8537
Book Publishing
Springer Link
ISBN
978-3-319-08728-3
Series
Lecture Notes in Computer Science
Book title
Rough Sets and Intelligent Systems Paradigms
From page
359
To page
366
Participants
  • Autor: Cesar Antonio Ortiz (UPM)
  • Autor: Consuelo Gonzalo Martin (UPM)
  • Autor: Jose Maria Peña Sanchez (UPM)
  • Autor: Ernestina Menasalvas Ruiz (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Minería de Datos y Simulación (MIDAS)
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)