A novel statistical cerebrovascular segmentation algorithm with particle swarm optimization
- Author
- LEI WEN1 ; XINGCE WANG1 ; ZHONGKE WU1 ; MINGQUAN ZHOU1 ; JIN, Jesse S2
[1] Department of Information Science and Technology, Beijing Normal University, Beijing, China
[2] Software College, Tianjin University, Tianjin, China - Source
Neurocomputing (Amsterdam). 2015, Vol 148, pp 569-577, 9 p ; ref : 30 ref
- ISSN
- 0925-2312
- Scientific domain
- Cognition; Computer science
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Cerebrovascular segmentation Finite mixture model Intensity histogram Particle swarm optimization Rayleigh distribution
- Keyword (fr)
- Analyse donnée Analyse statistique Angiographie Appareil circulatoire Approche probabiliste Estimation paramètre Fonction répartition Histogramme Imagerie RMN Intelligence en essaim Loi Rayleigh Loi normale Mise à jour Modélisation Mélange loi probabilité Méthode temps vol Optimisation PSO Système nerveux central Séquence image Tissu Topologie Traitement image Segmentation image
- Keyword (en)
- Data analysis Statistical analysis Angiography Circulatory system Probabilistic approach Parameter estimation Distribution function Histogram Nuclear magnetic resonance imaging Swarm intelligence Rayleigh distribution Gaussian distribution Updating Modeling Mixed distribution Time of flight method Particle swarm optimization Central nervous system Image sequence Tissue Topology Image processing Image segmentation
- Keyword (es)
- Análisis datos Análisis estadístico Angiografía Aparato circulatorio Enfoque probabilista Estimación parámetro Función distribución Histograma Imaginería RMN Inteligencia de enjambre Ley Rayleigh Curva Gauss Actualización Modelización Mezcla ley probabilidad Método tiempo vuelo Optimización PSO Sistema nervioso central Secuencia imagen Tejido Topología Procesamiento imagen Segmentación de imágenes
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02A Theoretical computing / 001D02A05 Algorithmics. Computability. Computer arithmetics
- 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) / 002B24A Radiodiagnosis. Nmr imagery. Nmr spectrometry / 002B24A03 Cardiovascular system
- Discipline
- Computer science : theoretical automation and systems Scanning and diagnostic techniques
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28844570
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.2014.07.006 
https://dx.doi.org/10.1016/j.neucom.2014.07.006
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