The nature of statistical learning theory
The nature of statistical learning theory
Fast detection of convergence areas in digital breast tomosynthesis
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Intensity independent texture analysis in screening mammograms
IWDM'12 Proceedings of the 11th international conference on Breast Imaging
| Hi-index | 0.01 |
Digital Breast Tomosynthesis (DBT) is a new 3D imaging technique aiming at overcoming some limitations of mammography A computer aided detection system may help the radiologist to process the increased amount of data of this new modality In this paper we propose to address the detection of masses and architectural distortions in DBT datasets To achieve this task, we propose a detection scheme composed of two separate channels, each of them being dedicated to the detection of one of the target radiological signs. We propose a description of these channels as well as a validation on clinical data We also compare the performance with existing approaches.