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» Active Volume Models for Medical Image Segmentation
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MICCAI
2001
Springer
15 years 8 months ago
Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation
Extracting 3D structures from volumetric images like MRI or CT is becoming a routine process for diagnosis based on quantitation, for radiotherapy planning, for surgical planning a...
Guido Gerig, Matthieu Jomier, Miranda Chakos
123
Voted
VIS
2004
IEEE
145views Visualization» more  VIS 2004»
16 years 4 months ago
Compression, Segmentation, and Modeling of Large-Scale Filamentary Volumetric Data
We describe a method for processing large amounts of volumetric data collected from a Knife Edge Scanning Microscope (KESM). The neuronal data that we acquire consists of thin, br...
Bruce H. McCormick, David Mayerich, John Keyser, P...
103
Voted
MICCAI
2004
Springer
16 years 4 months ago
Accurate Quantification of Small-Diameter Tubular Structures in Isotropic CT Volume Data Based on Multiscale Line Filter Respons
Abstract. A method fully utilizing multiscale line filter responses is presented to estimate the point spread function (PSF) of a CT scanner and diameters of small tubular structur...
Yoshinobu Sato, Shuji Yamamoto, Shinichi Tamura
122
Voted
TMI
1998
122views more  TMI 1998»
15 years 3 months ago
Segmentation and Interpretation of MR Brain Images: An Improved Active Shape Model
Abstract— This paper reports a novel method for fully automated segmentation that is based on description of shape and its variation using point distribution models (PDM’s). An...
Nicolae Duta, Milan Sonka
CVPR
1997
IEEE
15 years 7 months ago
Area and Length Minimizing Flows for Shape Segmentation
— A number of active contour models have been proposed that unify the curve evolution framework with classical energy minimization techniques for segmentation, such as snakes. Th...
Kaleem Siddiqi, Steven W. Zucker, Yves Béru...