Adaptive segmentation of ultrasound images
- Author
- LEVIENAISE-OBADIA, B1 ; GEE, A1
[1] Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, United Kingdom - Issue title
- BMVC '97
- Author (monograph)
- CLARK, A (Editor)1
[1] University of Essex, Colchester, United Kingdom - Source
Image and vision computing. 1999, Vol 17, Num 8, pp 583-588 ; ref : 14 ref
- ISSN
- 0262-8856
- Scientific domain
- Control theory, operational research; Computer science; Telecommunications
- Publisher
- Elsevier, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Keyword (fr)
- Application médicale B spline Contour Forme tridimensionnelle Imagerie ultrasonore Segmentation Segmentation adaptative
- Keyword (en)
- Medical application B spline Contour Three dimensional shape Ultrasound imaging Segmentation
- Keyword (es)
- Aplicación medical B splín Contorno Forma tridimensional Imageria ultrasonico Segmentación
- Classification
- 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 / 002B28 Computerized, statistical medical data processing and models in biomedicine / 002B28D Medical computing and teaching
- Discipline
- Computer science : theoretical automation and systems Public health. Hygiene-occupational medicine
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 1918676
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/S0262-8856(98)00177-2 
https://dx.doi.org/10.1016/S0262-8856(98)00177-2
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