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» Detection of Masses in Mammograms Using Texture Features
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ISBI
2004
IEEE
14 years 9 months ago
Likelihood Function Analysis for Segmentation of Mammographic Masses for Various Margin Groups
The purpose of this work was to develop an automatic boundary detection method for mammographic masses and to observe the method's performance on different four of the five m...
Lisa Kinnard, Shih-Chung Ben Lo, Erini Makariou, T...
ICPR
2006
IEEE
14 years 9 months ago
Texture Edge Detection using Multi-resolution Features and SOM
Texture boundaries or edges are useful information for segmenting a texture image. We propose a texture edge detection algorithm using a bank of 1-D multi-channel, multiresolution...
Lalit Gupta, Sukhendu Das
MAMMO
2010
Springer
13 years 10 months ago
A Boosting Based Approach for Automatic Micro-calcification Detection
Abstract. In this paper we present a boosting based approach for automatic detection of micro-calcifications in mammographic images. Our proposal is based on using local features e...
Arnau Oliver, Albert Torrent, Meritxell Tortajada,...
MICCAI
2007
Springer
14 years 9 months ago
False Positive Reduction in Mammographic Mass Detection Using Local Binary Patterns
In this paper we propose a new approach for false positive reduction in the field of mammographic mass detection. The goal is to distinguish between the true recognized masses and ...
Arnau Oliver, Joan Martí, Jordi Freixenet, ...
MVA
2007
128views Computer Vision» more  MVA 2007»
13 years 10 months ago
Illumination-robust Change Detection Using Texture Based Features
We propose a change detection method which is robust against illumination change and requires little background learning as a result of using texture based features. We propose Pe...
Kentaro Yokoi