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138
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CVPR
2006
IEEE
16 years 5 months ago
An Integrated Segmentation and Classification Approach Applied to Multiple Sclerosis Analysis
We present a novel multiscale approach that combines segmentation with classification to detect abnormal brain structures in medical imagery, and demonstrate its utility in detect...
Ayelet Akselrod-Ballin, Meirav Galun, Ronen Basri,...
142
Voted
CVPR
2010
IEEE
1135views Computer Vision» more  CVPR 2010»
15 years 11 months ago
Towards Weakly Supervised Semantic Segmentation by Means of Multiple Instance and Multitask Learning.
We address the task of learning a semantic segmentation from weakly supervised data. Our aim is to devise a system that predicts an object label for each pixel by making use of on...
Alexander Vezhnevets, Joachim Buhmann
ICPR
2008
IEEE
15 years 10 months ago
Probabilistic matching of line segments for their homography
Finding correspondences of two images taken from largely different camera configuration is a challenging problem because appearance information such as color, intensity and edge o...
Jihwan Woo, Taemin Kim, In-So Kweon
MIAR
2010
IEEE
15 years 2 months ago
DTI Connectivity by Segmentation
Abstract. This paper proposes a new method to compute connectivity information from diffusion weighted images. It is inspired by graphbased approaches to connectivity definition,...
Marc Niethammer, Alexis Boucharin, Christopher Zac...
MICCAI
2009
Springer
16 years 1 months ago
ECOC Random Fields for Lumen Segmentation in Radial Artery IVUS Sequences
The measure of lumen volume on radial arteries can be used to evaluate the vessel response to different vasodilators. In this paper, we present a framework for automatic lumen segm...
Francesco Ciompi, Oriol Pujol, Eduard Ferná...