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ECCV
2006
Springer
16 years 8 months ago
Learning to Combine Bottom-Up and Top-Down Segmentation
Bottom-up segmentation based only on low-level cues is a notoriously difficult problem. This difficulty has lead to recent top-down segmentation algorithms that are based on class-...
Anat Levin, Yair Weiss
SMI
2006
IEEE
108views Image Analysis» more  SMI 2006»
16 years 25 days ago
Segmenting Point Sets
There is a growing need to extract features from point sets for purposes like model classification, matching, and exploration. We introduce a technique for segmenting a point-sam...
Ichitaro Yamazaki, Vijay Natarajan, Zhaojun Bai, B...
TMI
2008
109views more  TMI 2008»
15 years 6 months ago
Efficient Multilevel Brain Tumor Segmentation With Integrated Bayesian Model Classification
Abstract-- We present a new method for automatic segmentation of heterogeneous image data that takes a step toward bridging the gap between bottom-up affinity-based segmentation me...
Jason J. Corso, Eitan Sharon, S. Dube, Suzie El-Sa...
ICCV
2011
IEEE
14 years 6 months ago
Incremental On-line Semi-supervised Learning for Segmenting the Left Ventricle of the Heart from Ultrasound Data
Recently, there has been an increasing interest in the investigation of statistical pattern recognition models for the fully automatic segmentation of the left ventricle (LV) of t...
Gustavo Carneiro, Jacinto C. Nascimento
MICCAI
1999
Springer
15 years 11 months ago
A New Approach to 3D Sulcal Ribbon Finding from MR Images
Abstract. Sulcal medial surfaces are 3D thin convoluted ribbons embedded in cortical sulci, and they provide distinctive anatomical features of the brain. Here we propose a new app...
Xiaolan Zeng, Lawrence H. Staib, Robert T. Schultz...