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Proceedings Paper

Hippocampal segmentation using mean shift algorithm
Author(s): Guadalupe Desirée López Palafox; Ana Luisa Sosa Ortíz; Oscar Marrufo Melendez; Orlando Morales Ballesteros; Jorge Luis Pérez González; Juan Ramón Jiménez Alaniz
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Paper Abstract

The population is aging as the years pass. There is an increase in life expectancy, but also a decrease in the quality of life for the presence of chronic degenerative diseases. Processing medical images can identify brain changes typical of Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI) at an early stage. We propose a new method of segmentation technique using Mean Shift algorithm applying probabilistic maps and Support Vector Machine with Linear and Radial Basis Kernel for segmentation of the hippocampus on Magnetic Resonance Images (MRI). The similarity index of DICE for a 8 control subject was calculated obtaining a mean value of 0:7053±0:0996 using Linear kernel and 0:7275±0:1335 using RBF kernel compared with the manual segmentation made by radiologist.

Paper Details

Date Published: 26 January 2017
PDF: 7 pages
Proc. SPIE 10160, 12th International Symposium on Medical Information Processing and Analysis, 101600D (26 January 2017); doi: 10.1117/12.2256810
Show Author Affiliations
Guadalupe Desirée López Palafox, Univ. Autónoma Metropolitana (Mexico)
Ana Luisa Sosa Ortíz, Instituto Nacional de Neurología y Neurocirugía (Mexico)
Oscar Marrufo Melendez, Instituto Nacional de Neurología y Neurocirugía (Mexico)
Orlando Morales Ballesteros, Instituto Nacional de Neurología y Neurocirugía (Mexico)
Jorge Luis Pérez González, Univ. Autónoma Metropolitana (Mexico)
Juan Ramón Jiménez Alaniz, Univ. Autónoma Metropolitana (Mexico)

Published in SPIE Proceedings Vol. 10160:
12th International Symposium on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore; Jorge Brieva; Jorge Brieva; Ignacio Larrabide; , Editor(s)

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