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» Active Region Models for Segmenting Medical Images
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ICIP
2009
IEEE
16 years 5 months ago
A Markov Random Field Model for Extracting Near-Circular Shapes
We propose a binary Markov Random Field (MRF) model that assigns high probability to regions in the image domain consisting of an unknown number of circles of a given radius. We...
Tamas Blaskovics, Zoltan Kato, and Ian Jermyn
ICIP
2007
IEEE
16 years 8 months ago
Distancecut: Interactive Segmentation and Matting of Images and Videos
An interactive algorithm for soft segmentation and matting of natural images and videos is presented in this paper. The technique follows and extends [10], where the user first ro...
Xue Bai, Guillermo Sapiro
MIA
2011
170views more  MIA 2011»
15 years 22 days ago
Robust statistical shape models for MRI bone segmentation in presence of small field of view
Accurate bone modeling from medical images is essential in the diagnosis and treatment of patients because it supports the detection of abnormal bone morphology, which is often re...
Jérôme Schmid, Jinman Kim, Nadia Magn...
ICIP
2005
IEEE
16 years 8 months ago
Multiple active contour models based on the EM algorithm
This paper describes an algorithm for the extraction of multiple regions using multiple active contour models (ACMs). The algorithm organizes edge points into strokes and assigns ...
Margarida Silveira, Jorge S. Marques
ISMDA
2005
Springer
15 years 11 months ago
Endocardial Tracking in Contrast Echocardiography Using Optical Flow
Myocardial Contrast Echocardiography (MCE) is a recent technique that allows to measure regional perfusion in the cardiac wall. Segmentation of MCE sequences would allow simultaneo...
Norberto Malpica, Juan Francisco Garamendi, Manuel...