Structural priors for multiobject semi-automatic segmentation of three-dimensional medical images via clustering and graph cut algorithms

Structural priors for multiobject semi-automatic segmentation of three-dimensional medical images via clustering and graph cut algorithms

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We develop a generic Graph Cut-based semiautomatic multiobject image segmentation method principally for use in routine medical applications ranging from tasks involving few objects in 2D images to fairly complex near whole-body 3D image segmentation. The flexible formulation of the method allows it...

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Bibliographic Details
Main Author: Kéchichian, Razmig
Language:ENG
Published: INSA de Lyon 2013
Subjects:
[SPI:OTHER] Engineering Sciences/Other
[SPI:OTHER] Sciences de l'ingénieur/Autre
Medical Imaging
Image Processing
Digital Images Processing
Image segmentation
3D Imaging
Image clustering
Markov model
Spatial prior
Graph cuts
Online Access:http://tel.archives-ouvertes.fr/tel-00967381
http://tel.archives-ouvertes.fr/docs/00/96/73/81/PDF/these.pdf

Internet

http://tel.archives-ouvertes.fr/tel-00967381
http://tel.archives-ouvertes.fr/docs/00/96/73/81/PDF/these.pdf

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