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» Segmentation of medical images using a genetic algorithm
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IJCV
2006
299views more  IJCV 2006»
14 years 11 months ago
Graph Cuts and Efficient N-D Image Segmentation
Combinatorial graph cut algorithms have been successfully applied to a wide range of problems in vision and graphics. This paper focusses on possibly the simplest application of gr...
Yuri Boykov, Gareth Funka-Lea
CEC
2009
IEEE
15 years 6 months ago
Evolutionary image segmentation based on multiobjective clustering
— In the fields of image processing and recognition, image segmentation is an important basic technique in which an image is partitioned into multiple regions (sets of pixels). ...
Shinichi Shirakawa, Tomoharu Nagao
MICCAI
2005
Springer
16 years 21 days ago
An Automated Approach to Connectivity-Based Partitioning of Brain Structures
Abstract. We present an automated approach to the problem of connectivity-based partitioning of brain structures using diffusion imaging. White-matter fibres connect different area...
Philip A. Cook, Hui Zhang 0005, Brian B. Avants, P...
IROS
2007
IEEE
254views Robotics» more  IROS 2007»
15 years 6 months ago
3D datasets segmentation based on local attribute variation
— We present a Graph-based method for low-level segmentation of unfiltered 3D data. The core of this approach is based on the construction of a local neighborhood structure and ...
Carla Silva Rocha Aguiar, Sébastien Druon, ...
ISBI
2002
IEEE
16 years 16 days ago
Segmentation of biomedical images with eigenvectors
We propose the use of eigenvectors for automated multidimensional image segmentation. The approach of Shi and Malik [8] has been extended in three dimensions and applied on biomed...
Achilleas S. Frangakis, Reiner Hegerl