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IJCNN
2006
IEEE
16 years 22 days ago
Learning to Segment Any Random Vector
— We propose a method that takes observations of a random vector as input, and learns to segment each observation into two disjoint parts. We show how to use the internal coheren...
Aapo Hyvärinen, Jukka Perkiö
ICPR
2010
IEEE
15 years 10 months ago
An LDA-Based Relative Hysteresis Classifier with Application to Segmentation of Retinal Vessels
In a pattern classification setup, image segmentation is achieved by assigning each pixel to one of two classes: object or background. The special case of vessel segmentation is c...
Alexandru Paul Condurache, Alfred Mertins
VMV
2003
142views Visualization» more  VMV 2003»
15 years 8 months ago
Evaluation and Improvement of Region-Based Motion Segmentation
Several approaches of motion segmentation were published in the last years, but an evaluation of these different approaches is missing up to now. Here we evaluate different method...
Mark Ross
ISBI
2008
IEEE
16 years 7 months ago
Real-time segmentation of 4D ultrasound by Active Geometric Functions
Four-dimensional ultrasound based on matrix phased array transducers can capture the complex 4D cardiac motion in a complete and real-time fashion. However, the large amount of in...
Qi Duan, Elsa D. Angelini, Shunichi Homma, Andrew ...
MICCAI
2009
Springer
16 years 4 months ago
Fast Automatic Segmentation of the Esophagus from 3D CT Data Using a Probabilistic Model
Automated segmentation of the esophagus in CT images is of high value to radiologists for oncological examinations of the mediastinum. It can serve as a guideline and prevent confu...
Johannes Feulner, Shaohua Kevin Zhou, Alexander Ca...