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» Supervised Image Segmentation Using Markov Random Fields
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Presentation
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17 years 26 days ago
Stochastic Segmentation of Blood Vessels From Time-of-Flight
In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the d...
M. Sabry Hassouna
ECCV
2004
Springer
16 years 1 months ago
Local Orientation Smoothness Prior for Vascular Segmentation of Angiography
Abstract. We present a new generic method for vascular segmentation of angiography. Angiography is used for the medical diagnosis of arterial diseases. To facilitate an effective a...
Wilbur C. K. Wong, Albert C. S. Chung, Simon C. H....
ICPR
2008
IEEE
16 years 1 months ago
A new objective function for sequence labeling
We propose a new loss function for discriminative learning of Markov random fields, which is an intermediate loss function between the sequential loss and the pointwise loss. We s...
Hisashi Kashima, Yuta Tsuboi
ICCV
2011
IEEE
13 years 11 months ago
Color Photometric Stereo for Multicolored Surfaces
We present a multispectral photometric stereo method for capturing geometry of deforming surfaces. A novel photometric calibration technique allows calibration of scenes containin...
Robert Anderson, Bjorn Stenger, Roberto Cipolla
IPPS
2009
IEEE
15 years 6 months ago
Evaluating the use of GPUs in liver image segmentation and HMMER database searches
In this paper we present the results of parallelizing two life sciences applications, Markov random fieldsbased (MRF) liver segmentation and HMMER’s Viterbi algorithm, using GP...
John Paul Walters, Vidyananth Balu, Suryaprakash K...