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» Active Volume Models for Medical Image Segmentation
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ISBI
2008
IEEE
15 years 10 months ago
Projection plane processing for sketch-based volume segmentation
Selecting a region of interest (ROI) within unsegmented volume data is one of the fundamental operations in volume data processing and analysis, yet it is difficult to perform the...
Shigeru Owada, Frank Nielsen, Takeo Igarashi, Ryo ...
CVPR
2011
IEEE
14 years 1 months ago
Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff
GI
2009
Springer
14 years 7 months ago
An Evolutionary Strategy for Model-based Segmentation of Medical Data
: Medical image segmentation often involves variants of deformable models to account for both the variability of object shapes and variation in image quality. Segmentation quality,...
Karin Engel, Klaus D. Toennies
TMI
2010
217views more  TMI 2010»
14 years 4 months ago
A Generative Model for Image Segmentation Based on Label Fusion
We propose a nonparametric, probabilistic model for the automatic segmentation of medical images, given a training set of images and corresponding label maps. The resulting inferen...
Mert R. Sabuncu, B. T. Thomas Yeo, Koenraad Van Le...
ISBI
2008
IEEE
15 years 10 months ago
Adaptive non-rigid registration of 3D knee MRI in different pose spaces
Volume registration of articulated subjects such as the human knee region requires novel methods to accommodate the wide range of movement resulting from skeletal joint rotations....
Taehyun Rhee, John P. Lewis, Krishna Nayak, Ulrich...