NDLI: A CAD system for the detection of mammography microcalcifications based on Gabor transform

Content Provider	IEEE Xplore Digital Library
Author	Catanzariti, E. Forni, G. Lauria, A. Prevete, R. Santoro, M.
Copyright Year	2004
Description	Author affiliation: Dipt. di Sci. Fisiche, Univ. degli Studi di Napoli Federico II, Italy (Catanzariti, E.; Forni, G.)
Abstract	Breast cancer is the first cause of death among women in Europe. Many studies have shown that the early diagnosis is the most efficient way to fight this disease. With this in mind, Computer Aided Detection (CAD) systems are being developed to help radiologists working with mammography to assess correct diagnosis. The main goal of these systems is to direct the radiologist's attention to suspicious areas. In this paper we present the software architecture of GNN-CAD (Gabor Neural Network CAD), a CAD system for the detection and classification of breast calcifications. Our approach is based on the multiresolution space-frequency scheme to the representation of the image known as Gabor Transform. The Gabor Neural Network CAD (GNN-CAD) system works in several steps. Digitized mammograms are first preprocessed, then, the image spectral and spatial features extracted by a bank of Gabor filters at different spatial and spatial-frequency resolutions are used to train a three layers feed-forward Artificial Neural Network (ANN) to discriminate between normal pixels and pixel belonging to isolated and clustered microcalcifications. The microcalcifications thus detected are grouped in clusters and classified.
Starting Page	3599
Ending Page	3603
File Size	1224756
Page Count	5
File Format	PDF
ISBN	0780387007
ISSN	10823654
e-ISBN	0780387015
DOI	10.1109/NSSMIC.2004.1466662
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-16
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mammography Artificial neural networks Coronary arteriosclerosis Spatial resolution Image resolution Pixel Breast cancer Europe Diseases Software architecture
Content Type	Text
Resource Type	Article

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