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» Detection of Masses in Mammograms Using Texture Features
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IEEEHPCS
2010
13 years 8 months ago
Texture feature representation in dynamic environments
This paper presents a novel approach to detect and formulate time varying changes in texture content on a sequence of images registered from a scene by using Gabor wavelets repres...
Kyeong Deok Woo, Sung Gook Kim, Sung Wook Baik
BMCBI
2010
158views more  BMCBI 2010»
13 years 10 months ago
A Bayesian network approach to feature selection in mass spectrometry data
Background: Time-of-flight mass spectrometry (TOF-MS) has the potential to provide non-invasive, high-throughput screening for cancers and other serious diseases via detection of ...
Karl W. Kuschner, Dariya I. Malyarenko, William E....
AIPR
2005
IEEE
14 years 3 months ago
Face Recognition Using Multispectral Random Field Texture Models, Color Content, and Biometric Features
Most of the available research on face recognition has been performed using gray scale imagery. This paper presents a novel two-pass face recognition system that uses a Multispect...
Orlando J. Hernandez, Mitchell S. Kleiman
ACCV
1998
Springer
14 years 2 months ago
Detection and Enhancement of Small Masses via Precision Multiscale Analysis
Abstract. We introduce a continuous scale wavelet detector. Our algorithm was able to detect a mass that could not be seen using conventional windowing and leveling or traditional ...
Dongwei Chen, Chun-Ming Chang, Andrew Laine
ICIP
2000
IEEE
14 years 11 months ago
Classification of Textured and Non-Textured Images Using Region Segmentation
The classification of general-purpose photographs into textured and non-textured images is critical for developing accurate content-based image retrieval systems for large-scale i...
Jia Li, James Ze Wang, Gio Wiederhold