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ICSAP
2010
13 years 11 months ago
An Enhanced Implementation of Brain Tumor Detection Using Segmentation Based on Soft Computing
—Image Segmentation is an important and challenging factor in the medical image segmentation. This paper describes segmentation method consisting of two phases. In the first phas...
T. Logeswari, M. Karnan
ICPR
2000
IEEE
13 years 11 months ago
Discriminant Snakes for 3D Reconstruction in Medical Images
In this work we proposea new statistic deformable model that we call discriminant snake for 3D reconstruction in volumetric images. Our discriminant snake generalises the classica...
Xose Manuel Pardo, Petia Radeva
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...
CBMS
2007
IEEE
14 years 1 months ago
Detection of Bronchopulmonary Segments on High-Resolution CT--Preliminary Results
Bronchopulmonary segments are subdivisions of lung lobes and provide detailed description of lung anatomy. They are used in surgical resection planning and airway disease quantifi...
Sata Busayarat, Tatjana Zrimec
MICCAI
2010
Springer
13 years 5 months ago
Non-parametric Iterative Model Constraint Graph min-cut for Automatic Kidney Segmentation
We present a new non-parametric model constraint graph min-cut algorithm for automatic kidney segmentation in CT images. The segmentation is formulated as a maximum a-posteriori es...
Moti Freiman, A. Kronman, S. J. Esses, Leo Joskowi...