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...
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...
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,...
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 ...
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...