Automatic detection of Parkinsonism using significance measures and component analysis in DaTSCAN imaging
- Author
- MARTINEZ-MURCIA, F. J1 ; GORRIZ, J. M1 ; RAMIREZ, J1 ; ILLAN, I. A1 ; ORTIZ, A2
[1] Department of Signal Theory, Networking and Communications, University of Granada, 18071, Spain
[2] Department of Communications Engineering, University of Málaga, 29071, Spain - Conference name
- International Conference on Hybrid Artificial Intelligence Systems (HAIS) (HAIS) (6 ; Wroclaw 2011-05)
- Source
Neurocomputing (Amsterdam). 2014, Vol 126, pp 58-70, 13 p ; ref : 58 ref
- ISSN
- 0925-2312
- Scientific domain
- Cognition; Computer science
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Conference Paper
- Language
- English
- Author keyword
- Computer Aided Diagnosis (CAD) DaTSCAN Independent Component Analysis (ICA) Parkinsonian Syndrome (PS) Statistical significance Support Vector Machines (SVM)
- Keyword (fr)
- Analyse composante indépendante Analyse image Analyse objective Analyse quantitative Analyse statistique Banque image Classification à vaste marge Conception assistée Critère sélection Discrimination Formation image Hôpital Image tridimensionnelle Imagerie médicale Intelligence artificielle Maladie de Parkinson Mesure automatique Pathologie du système nerveux Robustesse Syndrome Système aide décision Traitement image Vision ordinateur Voxel Classification image Extraction caractéristique
- Keyword (en)
- Independent component analysis Image analysis Objective analysis Quantitative analysis Statistical analysis Image databank Vector support machine Computer aided design Selection criterion Discrimination Imaging Hospital Tridimensional image Medical imagery Artificial intelligence Parkinson disease Automatic measurement Nervous system diseases Robustness Syndrome Decision support system Image processing Computer vision Voxel Image classification Feature extraction
- Keyword (es)
- Analisis componente independiente Análisis imagen Análisis objetivos Análisis cuantitativo Análisis estadístico Banco imagen Máquina ejemplo soporte Concepción asistida Criterio selección Discriminación Formación imagen Hospital Imagen tridimensional Imaginería médica Inteligencia artificial Parkinson enfermedad Medición automática Sistema nervioso patología Robustez Síndrome Sistema ayuda decisíon Procesamiento imagen Visión ordenador Voxel Clasificación de imágenes Extracción de características
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07B Data processing. List processing. Character string processing
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C03 Pattern recognition. Digital image processing. Computational geometry
- Pascal
- 002 Biological and medical sciences / 002B Medical sciences / 002B24 Investigative techniques, diagnostic techniques (general aspects)
- Pascal
- 002 Biological and medical sciences / 002B Medical sciences / 002B28 Computerized, statistical medical data processing and models in biomedicine / 002B28C Medical management aid. Diagnosis aid
- Discipline
- Computer science : theoretical automation and systems Public health. Hygiene-occupational medicine Scanning and diagnostic techniques
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28284295
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.neucom.2013.01.054 
https://dx.doi.org/10.1016/j.neucom.2013.01.054
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