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ICDAR
2003
IEEE
15 years 3 months ago
Image Segmentation By Learning Approach
This article describes a new segmentation by thresholding approach based on learning. The method consists in learning to threshold correctly submitting both an image and its ideal...
Horacio Andrés Legal-Ayala, Jacques Facon
MICCAI
2000
Springer
15 years 2 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
2010
Springer
14 years 8 months ago
Fast Random Walker with Priors Using Precomputation for Interactive Medical Image Segmentation
Abstract. Updating segmentation results in real-time based on repeated user input is a reliable way to guarantee accuracy, paramount in medical imaging applications, while making e...
Shawn Andrews, Ghassan Hamarneh, Ahmed Saad

Publication
164views
13 years 9 months ago
A Statistical Overlap Prior for Variational Image Segmentation
This study investigates variational image segmentation with an original data term, referred to as statistical overlap prior, which measures the conformity of overlap between the no...
Ismail Ben Ayed, Shuo Li and Ian Ross
ISBI
2004
IEEE
15 years 11 months ago
Clustering On Image Boundary Regions for Deformable Model Segmentation
We present a novel approach, clustering on local image profiles, for statistically characterizing image intensity in object boundary regions. In deformable model segmentation, a d...
Joshua Stough, Stephen M. Pizer, Edward L. Chaney,...