Abstract: A computer-aided detection (CADe) system for microcalci cation cluster identi cation in mammograms has been developed in the framework of the EU-founded MammoGrid project. The CADe software is mainly based on wavelet transforms and arti cial neural networks. It is able to identify microcalci cations in different datasets of mammograms (i.e. acquired with different machines and settings, digitized with different pitch and bit depth or direct digital ones). The CADe can be remotely run from GRID-connected acquisition and annotation stations, supporting clinicians from geographically distant locations in the interpretation of marnmographic data. We report and discuss the system performances on different datasets of mammograms and the status of the GRID-enabled CADe analysis.
A Scalable System for Microcalcification Cluster Automated Detection in a Distributed Mammographic Database
DELOGU, PASQUALE;FANTACCI, MARIA EVELINA;
2005-01-01
Abstract
Abstract: A computer-aided detection (CADe) system for microcalci cation cluster identi cation in mammograms has been developed in the framework of the EU-founded MammoGrid project. The CADe software is mainly based on wavelet transforms and arti cial neural networks. It is able to identify microcalci cations in different datasets of mammograms (i.e. acquired with different machines and settings, digitized with different pitch and bit depth or direct digital ones). The CADe can be remotely run from GRID-connected acquisition and annotation stations, supporting clinicians from geographically distant locations in the interpretation of marnmographic data. We report and discuss the system performances on different datasets of mammograms and the status of the GRID-enabled CADe analysis.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
