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» Active Region Models for Segmenting Medical Images
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MICCAI
2005
Springer
14 years 2 months ago
Adaptive Spatio-Temporal Restoration for 4D Fluorescence Microscopic Imaging
Abstract. We present a spatio-temporal filtering method for significantly increasing the signal-to-noise ratio (SNR) in noisy fluorescence microscopic image sequences where smal...
Jérôme Boulanger, Charles Kervrann, P...
ICPR
2008
IEEE
14 years 3 months ago
A novel automatic seed point selection algorithm for breast ultrasound images
Region growing is a frequently used segmentation method for medical ultrasound images processing. The first step of region growing is selecting the seed point which is inside the ...
Juan Shan, Heng-Da Cheng, Yuxuan Wang
ICIP
2003
IEEE
14 years 10 months ago
A probabilistic framework for image segmentation
A new probabilistic image segmentation model based on hypothesis testing and Gibbs Random Fields is introduced. First, a probabilistic difference measure derived from a set of hyp...
Slawo Wesolkowski, Paul W. Fieguth
ICIP
2010
IEEE
13 years 6 months ago
Fast semantic scene segmentation with conditional random field
In this paper, we present a fast approach to obtain semantic scene segmentation with high precision. We employ a two-stage classifier to label all image pixels. First, we use the ...
Wen Yang, Dengxin Dai, Bill Triggs, Gui-Song Xia, ...
ICIP
2003
IEEE
14 years 10 months ago
Atlas-based segmentation of pathological brain MR images
We propose a method for brain atlas deformation in presence of large space-occupying tumors, based on an a priori model of lesion growth that assumes radial expansion of the lesio...
Meritxell Bach Cuadra, Claudio Pollo, Anton Barder...