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» Segmentation of medical images using a genetic algorithm
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ISBI
2006
IEEE
16 years 7 months ago
Preliminary testing of sensitivity to input data quality in an elastographic reconstruction method
An elastographic reconstruction method has been developed to recover the material properties of soft tissue by modelbased analysis of image data acquired at different states of me...
Jao J. Ou, Stephanie L. Barnes, Michael I. Miga
BILDMED
2009
135views Algorithms» more  BILDMED 2009»
15 years 7 months ago
High Quality Image Magnification Using Cross-Scale Self-Similarity
In medical imaging there is a frequent need to magnify a certain region of interest (ROI) of an image. However many modalities suffer from severe noise and traditional upscaling me...
André Gooßen, Arne Ehlers, Thomas Pra...
MICCAI
2003
Springer
16 years 7 months ago
Generalized Image Models and Their Application as Statistical Models of Images
A generalized image model (GIM) is presented. Images are represented as sets of four-dimensional (4D) sites combining position and intensity information, as well as their associat...
Miguel Ángel González Ballester, Xav...
CAIP
2001
Springer
15 years 11 months ago
Visual Attention Guided Seed Selection for Color Image Segmentation
Abstract. The "seeded region growing" SRG is a segmentation technique which performs an image segmentation with respect to a set of initial points, known as seeds. Give...
Nabil Ouerhani, Neculai Archip, Heinz Hügli, ...
ICCV
2007
IEEE
16 years 8 months ago
Fast Crowd Segmentation Using Shape Indexing
This paper presents a fast, accurate, and novel method for the problem of estimating the number of humans and their positions from background differenced images obtained from a si...
Lan Dong, Vasu Parameswaran, Visvanathan Ramesh, I...