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Abstract: A hybrid intelligent system is presented for the identification of microcalcification clusters in digital mammograms. The proposed method is based on a three-step procedure: (a) preprocessing and segmentation, (b) regions of interest (ROI) specification, and (c) feature extraction and classification. The reduction of false positive cases is performed using an intelligent system containing two subsystems: a rule-based and a neural network sub-system. In the first step of the classification... (Update)
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BibTeX entry: (Update)
@misc{ papadopoulos-automatic,
author = "A. Papadopoulos and D.I. Fotiadis and A. Likas",
title = "An Automatic Microcalcification Detection System Based on Hybrid Neural
Network Classifier",
url = "citeseer.ist.psu.edu/papadopoulos02automatic.html" }
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