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» A probabilistic framework for image segmentation
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ICIP
2008
IEEE
14 years 9 months ago
Reference-based probabilistic segmentation as non-rigid registration using Thin Plate Splines
In this paper we demonstrate the effectiveness of reference (or atlas)-based non-rigid registration to the segmentation of medical and biological imagery. In particular we introdu...
Luca Bertelli, Pratim Ghosh, B. S. Manjunath, Fr&e...
ISBI
2004
IEEE
14 years 8 months ago
Anatomical Guided Segmentation with Non-Stationary Tissue Class Distributions in an Expectation-Maximization Framework
High quality segmentation of brain MR images is a challenging task. To deal with this problem many automatic segmentation methods rely on atlas information of anatomical structure...
Kilian M. Pohl, W. Eric L. Grimson, Sylvain Bouix,...
ICPR
2008
IEEE
14 years 2 months ago
Application of the wrapper framework for image object detection
Tools for automatic image understanding for managing operator workloads are essential. One common task for image analysts is the scanning large collections of real-time images loo...
Michael Farmer
SIP
2007
13 years 9 months ago
A variational segmentation framework using active contours and thresholding
Segmentation involves separating distinct regions in an image. In this note, we present a novel variational approach to perform this task. We propose an energy functional that nat...
Samuel Dambreville, Marc Niethammer, Anthony J. Ye...
MICCAI
2009
Springer
14 years 9 months ago
A Generic Probabilistic Active Shape Model for Organ Segmentation
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
Andreas Wimmer, Grzegorz Soza, Joachim Hornegger