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» An Adaptive Level Set Method for Medical Image Segmentation
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ISBI
2007
IEEE
15 years 4 months ago
Locally Adaptive Autoregressive Active Models for Segmentation of 3d Anatomical Structures
Many techniques of knowledge-based segmentation consist of building statistical models that describe the deformations of the structure of interest, and then fit these models to t...
Charles Florin, Nikos Paragios, Gareth Funka-Lea, ...
CVBIA
2005
Springer
15 years 3 months ago
Active Contours Under Topology Control Genus Preserving Level Sets
We present a novel framework to exert topology control over a level set evolution. Level set methods offer several advantages over parametric active contours, in particular automat...
Florent Ségonne, Jean-Philippe Pons, W. Eri...
MICCAI
2005
Springer
15 years 10 months ago
2D and 3D Shape Based Segmentation Using Deformable Models
A novel shape based segmentation approach is proposed by modifying the external energy component of a deformable model. The proposed external energy component depends not only on t...
Ayman El-Baz, Seniha Esen Yuksel, Hongjian Shi, Al...
IPAS
2008
15 years 2 days ago
Multivariate mathematical morphology and Bayesian classifier application to colour and medical images
Multivariate images are now commonly produced in many applications. If their process is possible due to computers power and new programming languages, theoretical difficulties hav...
Arnaud Garcia, Corinne Vachier, Jean-Paul Vall&eac...
IJCV
2006
262views more  IJCV 2006»
14 years 9 months ago
A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional
In this paper, we propose a new variational model to segment an object belonging to a given shape space using the active contour method, a geometric shape prior and the Mumford-Sha...
Xavier Bresson, Pierre Vandergheynst, Jean-Philipp...