4 search results - page 1 / 1 » False Positive Reduction in Breast Mass Detection Using Two-... |
IBPRIA
2007
Springer
13 years 10 months ago
2007
Springer
In this paper we present a novel method for reducing false positives in breast mass detection. Our approach is based on using the Two-Dimensional Principal Component Analysis (2DPC...
MICCAI
2007
Springer
14 years 5 months ago
2007
Springer
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 ...
MIMI
2007
Springer
13 years 10 months ago
2007
Springer
Three computer-aided detection (CAD) projects are hosted at the Gifu University, Japan as part of the “Knowledge Cluster Initiative” of the Japanese Government. These projects ...
ICCV
2005
IEEE
14 years 6 months ago
2005
IEEE
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...