Paper Info
Title
On a Heavy-Tailed Intensity Normalization of the Parkinson's Progression Markers Initiative Brain Database.
Abstract
In this work, we normalize the intensity of 40 FP-CIT SPECT images from the Parkinson's Progression Markers Initiative assuming that the histogram of intensity values follows an alpha-stable distribution. Then, we study the normalized images. The interclass separation of the Parkinson's disease (PD) brain images and the healthy control (HC) are calculated by means of the Mann-Whitney-Wilcoxon U-test. The intensity transformed images present higher inter-class separation according to the estimation of the U-test.
Year
DOI
Venue
2017
10.1007/978-3-319-59740-9_29
Lecture Notes in Computer Science
Field
DocType
Volume
Data mining,Computer vision,Histogram,Normalization (statistics),Essential tremor,Pattern recognition,Healthy control,Computer science,Artificial intelligence
Conference
10337
ISSN
Citations 
PageRank 
0302-9743
2
0.36
References 
Authors
4
8
Name
Order
Citations
PageRank
Diego Castillo-Barnes1248.00
Carlos Arenas220.36
Fermín Segovia37914.71
Francisco Jesús Martínez-Murcia47417.08
I. Illán5719.24
Juan Manuel Górriz Sáez628935.14
Javier Ramírez765668.23
D. Salas-Gonzalez831226.61