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ISBI
2004
IEEE
15 years 10 months ago
Vascular Segmentation in Three-Dimensional Rotational Angiography Based on Maximum Intensity Projections
Three-dimensional rotational angiography (3D-RA) is a relatively new and promising technique for imaging blood vessels. In this paper, we propose a novel 3D-RA vascular segmentati...
Rui Gan, Albert C. S. Chung, Wilbur C. K. Wong, Si...
JACIII
2006
97views more  JACIII 2006»
14 years 9 months ago
Opposition-Based Reinforcement Learning
In this paper a method for image segmentation using an opposition-based reinforcement learning scheme is introduced. We use this agent-based approach to optimally find the appropri...
Hamid R. Tizhoosh
MICCAI
2008
Springer
15 years 10 months ago
Markov Dependence Tree-Based Segmentation of Deep Brain Structures
We propose a new framework for multi-object segmentation of deep brain structures, which have significant shape variations and relatively small sizes in medical brain images. In th...
Jue Wu, Albert C. S. Chung
MICCAI
1999
Springer
15 years 1 months ago
Towards a Better Comprehension of Similarity Measures Used in Medical Image Registration
While intensity-based similarity measures are increasingly used for medical image registration, they often rely on implicit assumptions regarding the physics of imaging. The motiva...
Alexis Roche, Grégoire Malandain, Nicholas ...
129
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MICCAI
2002
Springer
15 years 10 months ago
An Automated Segmentation Method of Kidney Using Statistical Information
: This paper presents a deformable model based approach for automated segmentation of kidneys from tree dimensional (3D) abdominal CT images. Since the quality of an input image is...
Baigalmaa Tsagaan, Akinobu Shimizu, Hidefumi Kobat...