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» Quality of Compressed Medical Images
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ISBI
2009
IEEE
15 years 6 months ago
Bridging the Semantic Gap Using Ranking Svm for Image Retrieval
One of the main challenges for Content-Based Image Retrieval (CBIR) is to achieve meaningful mappings between the high-level semantic concepts and the low-level visual features in...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...
CGF
2000
127views more  CGF 2000»
14 years 11 months ago
Interactive High-Quality Maximum Intensity Projection
Maximum Intensity Projection (MIP) is a volume rendering technique which is used to visualize high-intensity structures within volumetric data. At each pixel the highest data valu...
Lukas Mroz, Helwig Hauser, Eduard Gröller
CG
1999
Springer
14 years 11 months ago
An interactive visualization and navigation tool for medical volume data
In order to make direct volume rendering practicable convenient visualization options and data analysis tools have to be integrated. For example, direct rendering of semi-transpar...
Ove Sommer, Alexander Dietz, Rüdiger Westerma...
MICCAI
2005
Springer
16 years 5 days ago
A Unifying Approach to Registration, Segmentation, and Intensity Correction
We present a statistical framework that combines the registration of an atlas with the segmentation of magnetic resonance images. We use an Expectation Maximization-based algorithm...
Kilian M. Pohl, John W. Fisher III, James J. Levit...
CVPR
2008
IEEE
16 years 1 months ago
Image super-resolution as sparse representation of raw image patches
This paper addresses the problem of generating a superresolution (SR) image from a single low-resolution input image. We approach this problem from the perspective of compressed s...
Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma