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ARTMED
2004
145views more  ARTMED 2004»
15 years 6 months ago
A novel kernelized fuzzy C-means algorithm with application in medical image segmentation
: Image segmentation plays a crucial role in many medical imaging applications. In this paper, we present a novel algorithm for fuzzy segmentation of magnetic resonance imaging (MR...
Dao-Qiang Zhang, Song-Can Chen
ICIP
2009
IEEE
15 years 4 months ago
Shapes as empirical distributions
We address the problem of shape based classification. We interpret the shape of an object as a probability distribution governing the location of the points of the object. An imag...
Bernardo Rodrigues Pires, José M. F. Moura
ISBI
2006
IEEE
16 years 25 days 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
CVPR
1997
IEEE
15 years 11 months ago
Automated Model Acquisition from Range Images with View Planning
We present an incremental system that builds accurate CAD models of objects from multiple range images. Using a hybrid of surface mesh and volumetric representations, the system c...
Michael K. Reed, Peter K. Allen, Ioannis Stamos
ESANN
2006
15 years 8 months ago
Visual object classification by sparse convolutional neural networks
Abstract. A convolutional network architecture termed sparse convolutional neural network (SCNN) is proposed and tested on a real-world classification task (car classification). In...
Alexander Gepperth