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» Unseeded Region Growing for 3D Image Segmentation
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ISBI
2007
IEEE
14 years 1 months ago
Automated Segmentation of the Right Heart Using an Optimized Shells and Spheres Algorithm
We have developed a novel framework for medical image analysis, known as Shells and Spheres. This framework utilizes spherical operators of variable radius centered at each image ...
Aaron Cois, Ken J. Rockot, John M. Galeotti, Rober...
TMI
1998
140views more  TMI 1998»
13 years 7 months ago
Automated Seeded Lesion Segmentation on Digital Mammograms
Abstract—Segmenting lesions is a vital step in many computerized mass-detection schemes for digital (or digitized) mammograms. We have developed two novel lesion segmentation tec...
Matthew A. Kupinski, Maryellen L. Giger
ICPR
2008
IEEE
14 years 2 months ago
A novel automatic seed point selection algorithm for breast ultrasound images
Region growing is a frequently used segmentation method for medical ultrasound images processing. The first step of region growing is selecting the seed point which is inside the ...
Juan Shan, Heng-Da Cheng, Yuxuan Wang
MICCAI
2009
Springer
14 years 8 months ago
A Generic Probabilistic Active Shape Model for Organ Segmentation
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
Andreas Wimmer, Grzegorz Soza, Joachim Hornegger
SCVMA
2004
Springer
14 years 1 months ago
On the Relationship Between Image and Motion Segmentation
Abstract. In this paper we present a generative model for image sequences, which can be applied to motion segmentation and tracking, and to image sequence compression. The model co...
Adrian Barbu, Song Chun Zhu