Application of Empirical Mode Decomposition (EMD) on DaTSCAN SPECT images to explore Parkinson Disease

Expert Systems with Applications

Volumn 40, Issue 7, 2013, Pages 2756-2766

  Rojas, A ^a   Gorriz J M ^a   Ramirez J ^a   Illan I A ^a   Martinez Murcia F J ^a   Ortiz, A ^b   Gomez Rio M ^c   Moreno Caballero, M ^c  

^a UNIVERSITY OF GRANADA   (Spain)

^b UNIVERSITY OF MÁLAGA   (Spain)

^c HOSPITAL UNIVERSITARIO VIRGEN DE LAS NIEVES   (Spain)

Author keywords

Computer Aided Diagnosis (CAD); DaTSCAN; Empirical Mode Decomposition (EMD); Independent Component Analysis (ICA); Parkinson Disease (PD); Parkinsonian Syndrome (PS); Principal Component Analysis (PCA); Support Vector Machines (SVM)

Indexed keywords

BRAIN SPECT; DATSCAN; EMPIRICAL MODE DECOMPOSITION; IMAGE DATABASE; IN-VIVO IMAGES; INTRINSIC MODE FUNCTIONS; NEURODEGENERATIVE DISORDERS; NON-STATIONARY TIME SERIES; PARKINSON DISEASE; PARKINSONIAN SYNDROME (PS); SPECT IMAGES;

COMPUTER AIDED DIAGNOSIS; FEATURE EXTRACTION; INDEPENDENT COMPONENT ANALYSIS; NEURODEGENERATIVE DISEASES; PRINCIPAL COMPONENT ANALYSIS; SUPPORT VECTOR MACHINES;

SIGNAL PROCESSING;

EID: 84873141246     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.11.017     Document Type: Article

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