Automatic Classification of Clustered Microcalcifications by a Multiple Expert System
Autori: PATTERN RECOGNITION, MOLINARA, Mario, TORTORELLA, Francesco, M. VENTO, M. DE SANTO
Abstract
Mammography is a not invasive diagnostic technique widely used for early cancer detection in women breast. A significant visual clue of the disease is the presence of clusters of microcalcifications. The automatic recognition of malignant clusters of microcalcifications, which could be very helpful for diagnostic purposes, is a very difficult task because of the small size of the microcalcifications and of the poor quality of the mammographic images.In this paper we propose a novel approach for classifying clusters of microcalcifications, based on a Multiple Expert System; such system aggregates several experts, some of which are devoted to classify the single microcalcifications while others are aimed to classify the cluster considered as a whole. The final output results from the suitable combination of the two groups of experts. The tests performed on a standard database of 40 mammographic images have confirmed the effectiveness of the approach.
BibTeX
@article{patternrecognition2003automatic,
title={Automatic Classification of Clustered Microcalcifications by a Multiple Expert System},
author={PATTERN RECOGNITION and MOLINARA, Mario and TORTORELLA, Francesco and M. VENTO and M. DE SANTO},
year={2003},
doi={10.1016/S0031-3203(03)00004-9}
}