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PET image classification using HHT-based features through fractal sampling
dc.contributor.author | Ortiz-Garcia, Andres | |
dc.contributor.author | Lozano, Francisco | |
dc.contributor.author | Peinado-Dominguez, Alberto | |
dc.contributor.author | García, María | |
dc.date.accessioned | 2017-07-06T11:55:37Z | |
dc.date.available | 2017-07-06T11:55:37Z | |
dc.date.created | 2017 | |
dc.date.issued | 2017-07-06 | |
dc.identifier.uri | http://hdl.handle.net/10630/14137 | |
dc.description.abstract | Medical image classification is currently a challenging task that can be used to aid the diagnosis of different brain diseases. Thus, exploratory and discriminative analysis techniques aiming to obtain rep- resentative features from the images, play a decisive role in the design of effective Computer Aided Diagnosis (CAD) systems, which is spe- cially important in the early diagnosis of dementias. In this work we present a technique that allows extracting discriminative features from Positron Emission Tomography (PET) by means of an Empirical Mode Decomposition-based (EEMD) method. This requires to transform the 3D PET image into a time series which is addressed by sampling the image using a fractal-based method which allows to preserve the spa- tial relationship among voxels. The devised technique has been used to classify images from the Alzheimer's Disease Neuroimaging Initiat- ive (ADNI) achieving up to a 90.5% accuracy in a differential diagnosis task (AD vs. controls), which proves that the information retrieved by our methodology is significantly linked to the disease. | es_ES |
dc.description.sponsorship | Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. | es_ES |
dc.language.iso | spa | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.subject | Medicina - Procesado de imágenes | es_ES |
dc.subject.other | PET | es_ES |
dc.subject.other | Classification | es_ES |
dc.subject.other | Medical image processing | es_ES |
dc.title | PET image classification using HHT-based features through fractal sampling | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.centro | E.T.S.I. Telecomunicación | es_ES |
dc.relation.eventtitle | International work-conference on the interplay between natural and artificial computation | es_ES |
dc.relation.eventplace | A Coruña | es_ES |
dc.relation.eventdate | 19/6/2017 | es_ES |
dc.cclicense | by-nc-nd | es_ES |