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» Active Volume Models for Medical Image Segmentation
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ISBI
2011
IEEE
14 years 1 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...
IPMI
2007
Springer
15 years 10 months ago
Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework
Abstract. We describe a new approach for estimating the posterior probability of tissue labels. Conventional likelihood models are combined with a curve length prior on boundaries,...
Kilian M. Pohl, Ron Kikinis, William M. Wells III
CGF
2010
126views more  CGF 2010»
14 years 10 months ago
Contour-based Interface for Refining Volume Segmentation
Medical volume images contain ambiguous and low-contrast boundaries around which existing fully- or semiautomatic segmentation algorithms often cause errors. In this paper, we pro...
Takashi Ijiri, Hideo Yokota
MICCAI
2005
Springer
15 years 10 months ago
The Use of Unwrapped Phase in MR Image Segmentation: A Preliminary Study
This paper considers the problem of tissue classification in 3D MRI. More specifically, a new set of texture features, based on phase information, is used to perform the segmentati...
Pierrick Bourgeat, Jurgen Fripp, Andrew L. Janke, ...
MICCAI
2003
Springer
15 years 10 months ago
VETOT, Volume Estimation and Tracking Over Time: Framework and Validation
We have implemented an effective and publicly available tool, VETOT, to track and quantify the evolution of tumors and organs over time. VETOT includes a framework both for registr...
Jean-Philippe Guyon, Mark Foskey, Jisung Kim, Zeyn...