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» Medical Image Segmentation Based on Novel Local Order Energy
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CVPR
1999
IEEE
14 years 9 months ago
Histogram Clustering for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic grouping of distributional histogram data. Adopting the Bayesian framework, we propose to perform anneale...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
ISBI
2007
IEEE
14 years 1 months ago
Filtering and Restoration of Structures in 3d Ultrasound Images
We present a new method aimed at restoring structures in 3D US images. In our approach, 3D US data acquired with tilt devices is resampled into cylindrical coordinates with the pu...
Oscar Acosta, Hans Frimmel, Aaron Fenster, S&eacut...
ISBI
2011
IEEE
12 years 11 months ago
Extraction and analysis of actin networks based on Open Active Contour models
Network structures formed by actin filaments are present in many kinds of fluorescence microscopy images. In order to quantify the conformations and dynamics of such actin fila...
Ting Xu, Hongsheng Li, Tian Shen, Nikola Ojkic, Di...
ICIP
2003
IEEE
14 years 23 days ago
K-Voronoi diagrams computing in arbitrary domains
We propose a novel algorithm to compute Voronoi diagrams of order k in arbitrary 2D and 3D domains. The algorithm is based on a fast ordered propagation distance transformation ca...
Rubén Cárdenes, Simon K. Warfield, A...
IPMI
2005
Springer
14 years 8 months ago
3D Active Shape Models Using Gradient Descent Optimization of Description Length
Abstract. Active Shape Models are a popular method for segmenting three-dimensional medical images. To obtain the required landmark correspondences, various automatic approaches ha...
Tobias Heimann, Ivo Wolf, Tomos G. Williams, Hans-...