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ICPR
2008
IEEE
15 years 10 months ago
Medical image segmentation via min s-t cuts with sides constraints
Graph cut algorithms (i.e., min s-t cuts) [3][10][15] are useful in many computer vision applications. In this paper we develop a formulation that allows the addition of side cons...
Jiun-Hung Chen, Linda G. Shapiro
CARS
2003
15 years 5 months ago
Seeing and understanding 3-d medical images through 2-d renditions
The efficiency of data analysis of 3-d measurement data such as medical images can be enhanced if the expert user is enabled to incorporate his knowledge into the analysis process ...
Klaus D. Tönnies
143
Voted
MICCAI
2005
Springer
15 years 9 months ago
Spectral Clustering Algorithms for Ultrasound Image Segmentation
Abstract. Image segmentation algorithms derived from spectral clustering analysis rely on the eigenvectors of the Laplacian of a weighted graph obtained from the image. The NCut cr...
Neculai Archip, Robert Rohling, Peter Cooperberg, ...
FGCS
2007
146views more  FGCS 2007»
15 years 4 months ago
Distributed medical images analysis on a Grid infrastructure
In this paper medical applications on a Grid infrastructure, the MAGIC-5 Project, are presented and discussed. MAGIC-5 aims at developing Computer Aided Detection (CADe) software ...
Roberto Bellotti, Piergiorgio Cerello, S. Tangaro,...
GRAPHICSINTERFACE
2007
15 years 5 months ago
Visualization and exploration of time-varying medical image data sets
In this work, we propose and compare several methods for the visualization and exploration of time-varying volumetric medical images based on the temporal characteristics of the d...
Zhe Fang, Torsten Möller, Ghassan Hamarneh, A...