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» Active Volume Models for 3D Medical Image Segmentation
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IPMI
2003
Springer
14 years 8 months ago
Fusion of Autoradiographies with an MR Volume Using 2-D and 3-D Linear Transformations
The recent development of 3-D medical imaging devices has given access to the 3-D imaging of in vivo tissues, from an anatomical (MR, CT) or even functional point of view (fMRI, PE...
Eric Bardinet, Grégoire Malandain
MICCAI
2000
Springer
13 years 11 months ago
Efficient Semiautomatic Segmentation of 3D Objects in Medical Images
Abstract. We present a fast and accurate tool for semiautomatic segmentation of volumetric medical images based on the live wire algorithm, shape-based interpolation and a new opti...
Andrea Schenk, Guido P. M. Prause, Heinz-Otto Peit...
MICCAI
2009
Springer
14 years 8 months ago
Fast and Robust 3-D MRI Brain Structure Segmentation
We present a novel method for the automatic detection and segmentation of (sub-)cortical gray matter structures in 3-D magnetic resonance images of the human brain. Essentially, th...
Michael Wels, Yefeng Zheng, Gustavo Carneiro, M...
MICCAI
2006
Springer
14 years 8 months ago
Improving Segmentation of the Left Ventricle Using a Two-Component Statistical Model
Abstract. Quality of segmentations obtained by 3D Active Appearance Models (AAMs) crucially depends on underlying training data. MRI heart data, however, often come noisy, incomple...
Jirí Hladuvka, Katja Bühler, Sebastian...
JDCTA
2010
134views more  JDCTA 2010»
13 years 2 months ago
A New Clustering Segmentation Algorithm of 3D Medical Data Field Based on Data Mining
Direct 3D volume segmentation is one of the difficult and hot research fields in 3D medical data field processing. Using the clustering and analyzing techniques of data mining, a ...
Li Xinwu