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» Comparison of 3D Segmentation Algorithms for Medical Imaging
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VR
2010
IEEE
205views Virtual Reality» more  VR 2010»
13 years 6 months ago
Exploring individual user differences in the 2D/3D interaction with medical image data
Abstract User-centered design is often performed without regard to individual user differences. In this paper, we report results of an empirical study aimed to evaluate whether com...
Elena V. Zudilova-Seinstra, Boris W. van Schooten,...
IPMI
2003
Springer
14 years 25 days ago
Neighbor-Constrained Segmentation with 3D Deformable Models
A novel method for the segmentation of multiple objects from 3D medical images using inter-object constraints is presented. Our method is motivated by the observation that neighbor...
Jing Yang, Lawrence H. Staib, James S. Duncan
ISBI
2011
IEEE
12 years 11 months ago
An automatic feature based model for cell segmentation from confocal microscopy volumes
We present a model for the automated segmentation of cells from confocal microscopy volumes of biological samples. The segmentation task for these images is exceptionally challeng...
Diana Delibaltov, Pratim Ghosh, Michael Veeman, Wi...
VIP
2000
13 years 9 months ago
Unseeded Region Growing for 3D Image Segmentation
Unseeded region growing is a versatile and fullyautomatic segmentation technique suitable for multispectral and 3D images. This approach integrates region-based segmentation with ...
Zheng Lin, Jesse S. Jin, Hugues Talbot
MICCAI
2004
Springer
14 years 8 months ago
Implicit Active Shape Models for 3D Segmentation in MR Imaging
Extraction of structures of interest in medical images is often an arduous task because of noisy or incomplete data. However, handsegmented data are often available and most of the...
Mikaël Rousson, Nikos Paragios, Rachid Derich...