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» Active Region Models for Segmenting Medical Images
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MICCAI
2004
Springer
14 years 8 months ago
Landmark-Driven, Atlas-Based Segmentation of Mouse Brain Tissue Images Containing Gene Expression Data
To better understand the development and function of the mammalian brain, researchers have begun to systematically collect a large number of gene expression patterns throughout the...
Ioannis A. Kakadiaris, Musodiq Bello, Shiva Arunac...
ISBI
2009
IEEE
14 years 2 months ago
Mitral Annulus Segmentation from Three-Dimensional Ultrasound
An accurate and reproducible segmentation of the mitral valve annulus from 3D ultrasound is useful to clinicians and researchers in applications such as pathology diagnosis and mi...
Robert Schneider, Douglas Perrin, Nikolay V. Vasil...
ISM
2006
IEEE
277views Multimedia» more  ISM 2006»
13 years 7 months ago
Efficient Bottom-Up Image Segmentation Using Region Competition and the Mumford-Shah Model for Color and Textured Images
Curve evolution implementations [3][23] [25] of the Mumford-Shah functional [16] are of broad interest in image segmentation. These implementations, however, have initialization p...
Yongsheng Pan, J. Douglas Birdwell, Seddik M. Djou...
CVPR
2007
IEEE
14 years 9 months ago
Implicit Active Contours Driven by Local Binary Fitting Energy
In this paper, we propose a novel region-based active contour model for image segmentation with a variational level set formulation. By introducing a local binary fitting energy, ...
Chunming Li, Chiu-Yen Kao, John C. Gore, Zhaohua D...
MICCAI
2001
Springer
13 years 12 months ago
Implicit Snakes: Active Constrained Implicit Models
Extended Abstract: We are exploring new techniques for active contour models (popularly known as “snakes”[1]) by combining active segmentation models with the constrained impli...
Terry S. Yoo, Kalpathi R. Subramanian