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MICCAI
2010
Springer
15 years 5 months ago
Incorporating Priors on Expert Performance Parameters for Segmentation Validation and Label Fusion: A Maximum a Posteriori STAPL
Abstract. In order to evaluate the quality of segmentations of an image and assess intra- and inter-expert variability in segmentation performance, an Expectation Maximization (EM)...
Olivier Commowick, Simon K. Warfield
MICCAI
2008
Springer
16 years 8 months ago
A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI
In this paper we present a fully automated approach to the segmentation of pediatric brain tumors in multi-spectral 3-D magnetic resonance images. It is a top-down segmentation app...
Michael Wels, Gustavo Carneiro, Alexander Aplas,...
MICCAI
2006
Springer
16 years 7 months ago
Automatic Detection and Segmentation of Ground Glass Opacity Nodules
Ground Glass Opacity (GGO) is defined as hazy increased attenuation within a lung that is not associated with obscured underlying vessels. Since pure (nonsolid) or mixed (partially...
Jinghao Zhou, Sukmoon Chang, Dimitris N. Metaxas, ...
SIGIR
2003
ACM
16 years 3 days ago
Domain-independent text segmentation using anisotropic diffusion and dynamic programming
This paper presents a novel domain-independent text segmentation method, which identifies the boundaries of topic changes in long text documents and/or text streams. The method c...
Xiang Ji, Hongyuan Zha
CVIU
2007
152views more  CVIU 2007»
15 years 6 months ago
A random sampling strategy for piecewise planar scene segmentation
We investigate the problem of automatically creating 3D models of man-made environments that we represent as collections of textured planes. A typical approach is to automatically...
Adrien Bartoli