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» Applying EM Algorithm for Segmentation of Textured Images
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CEC
2010
IEEE
13 years 9 months ago
Automatic construction of image transformation algorithms using feature based genetic image network
Image processing and recognition technologies are becoming increasingly important. Automatic construction methods for image transformation algorithms proposed to date approximate a...
Yuta Nakano, Shinichi Shirakawa, Noriko Yata, Tomo...
IPMI
2007
Springer
14 years 9 months ago
A Shape-Guided Deformable Model with Evolutionary Algorithm Initialization for 3D Soft Tissue Segmentation
Abstract. We present a novel method for the segmentation of volumetric images, which is especially suitable for highly variable soft tissue structures. Core of the algorithm is a s...
Hans-Peter Meinzer, Ivo Wolf, Sascha Münzing,...
ISBI
2006
IEEE
14 years 2 months ago
TOADS: topology-preserving, anatomy-driven segmentation
This paper presents a new framework for multiple object segmentation in medical images that respects the topological properties and anatomical relationships of structures as given...
Pierre-Louis Bazin, Dzung L. Pham
MICCAI
2010
Springer
13 years 7 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
2005
Springer
14 years 9 months ago
Random Walks for Interactive Organ Segmentation in Two and Three Dimensions: Implementation and Validation
A new approach to interactive segmentation based on random walks was recently introduced that shows promise for allowing physicians more flexibility to segment arbitrary objects in...
Leo Grady, Thomas Schiwietz, Shmuel Aharon, Rü...