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» Segmentation of medical images using a genetic algorithm
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CAIP
2009
Springer
246views Image Analysis» more  CAIP 2009»
15 years 11 months ago
A Novel Approach for Word Spotting Using Merge-Split Edit Distance
Edit distance matching has been used in literature for word spotting with characters taken as primitives. The recognition rate however, is limited by the segmentation inconsistenci...
Khurram Khurshid, Claudie Faure, Nicole Vincent
TVCG
2008
112views more  TVCG 2008»
15 years 6 months ago
Reconstruction of Cellular Biological Structures from Optical Microscopy Data
Developments in optical microscopy imaging have generated large high-resolution datasets that have spurred medical researchers to conduct investigations into mechanisms of disease,...
Kishore Mosaliganti, Lee Cooper, Richard Sharp, Ra...
BMCBI
2010
89views more  BMCBI 2010»
15 years 7 months ago
Leukocyte Nucleus Segmentation and Nucleus Lobe Counting
Background: Leukocytes play an important role in the human immune system. The family of leukocytes is comprised of lymphocytes, monocytes, eosinophils, basophils, and neutrophils....
Yung-Kuan Chan, Meng-Hsiun Tsai, Der-Chen Huang, Z...
MICCAI
2007
Springer
16 years 28 days ago
Robust Autonomous Model Learning from 2D and 3D Data Sets
In this paper we propose a weakly supervised learning algorithm for appearance models based on the minimum description length (MDL) principle. From a set of training images or volu...
Georg Langs, Rene Donner, Philipp Peloschek, Horst...
210
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ICCV
2009
IEEE
16 years 11 months ago
Scene Shape Priors for Superpixel Segmentation
Unsupervised over-segmentation of an image into superpixels is a common preprocessing step for image parsing algorithms. Superpixels are used as both regions of support for feat...
Alastair P. Moore, Simon J. D. Prince, Jonathan Wa...