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147
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BMCBI
2008
165views more  BMCBI 2008»
15 years 5 months ago
Peak intensity prediction in MALDI-TOF mass spectrometry: A machine learning study to support quantitative proteomics
Background: Mass spectrometry is a key technique in proteomics and can be used to analyze complex samples quickly. One key problem with the mass spectrometric analysis of peptides...
Wiebke Timm, Alexandra Scherbart, Sebastian Bö...
PRL
2008
78views more  PRL 2008»
15 years 4 months ago
Retrieving scale from quasi-stationary images
(204 words) We have developed a novel method to derive scale information from quasi-stationary images, which relies on a rotation-guided multi-scale analysis of features derived fr...
Piotr W. Mirowski, Daniel M. Tetzlaff
148
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TVCG
2008
133views more  TVCG 2008»
15 years 4 months ago
Texture-based Transfer Functions for Direct Volume Rendering
Visualization of volumetric data faces the difficult task of finding effective parameters for the transfer functions. Those parameters can determine the effectiveness and accuracy ...
Jesus Caban, Penny Rheingans
TIP
2010
205views more  TIP 2010»
14 years 11 months ago
Variational Region-Based Segmentation Using Multiple Texture Statistics
This paper addresses variational supervised texture segmentation. The main contributions are twofold. First, the proposed method circumvents a major problem related to classical t...
Imen Karoui, Ronan Fablet, Jean-Marc Boucher, Jean...

Publication
400views
14 years 11 months ago
Partitioning Histopathological Images: An Integrated Framework for Supervised Color-Texture Segmentation and Cell Splitting
For quantitative analysis of histopathological images, such as the lymphoma grading systems, quantification of features is usually carried out on single cells before categorizing...
Hui Kong, Metin Gurcan, and Kamel Belkacem-Boussai...