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» Comparison of 3D Segmentation Algorithms for Medical Imaging
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ISBI
2007
IEEE
15 years 10 months ago
Unsupervised Curvature-Based Retinal Vessel Segmentation
Unsupervised methods for automatic vessel segmentation from retinal images are attractive when only small datasets, with associated ground truth markings, are available. We presen...
Saurabh Garg, Jayanthi Sivaswamy, Siva Chandra
CVPR
2005
IEEE
16 years 6 months ago
Interactive Graph Cut Based Segmentation with Shape Priors
Interactive or semi-automatic segmentation is a useful alternative to pure automatic segmentation in many applications. While automatic segmentation can be very challenging, a sma...
Daniel Freedman, Tao Zhang
MICCAI
2009
Springer
16 years 5 months ago
Building Shape Models from Lousy Data
Statistical shape models have gained widespread use in medical image analysis. In order for such models to be statistically meaningful, a large number of data sets have to be inclu...
Marcel Lüthi, Thomas Albrecht, Thomas Vetter
ICPR
2010
IEEE
15 years 6 months ago
A Semi-Supervised Gaussian Mixture Model for Image Segmentation
In this paper, the results of a semi-supervised approach based on the Expectation-Maximisation algorithm for model-based clustering are presented. We show in this work that, if th...
Adolfo Martínez-Usó, F. Pla, Jose Martínez Soto...
ISBI
2004
IEEE
16 years 5 months ago
A Template-Propagation Method for Segmentation of Filamentous Structures in Electron Tomograms
We report a method for semi-automated segmentation of extended features such as filamentous structures in electron tomograms. We present an application of this method for the auto...
Sriram Subramaniam, Peijun Zhang, David Germain, T...