A multi-scale approach to the computer-aided detection of microcalcification clusters in digital mammograms

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dc.creatorDelogu, P.
dc.creatorFantacci, M. E.
dc.creatorRetico, A.
dc.creatorStefanini, A.
dc.creatorTata, A.
dc.date2007-01-22
dc.date.accessioned2026-07-07T13:03:53Z
dc.date.available2026-07-07T13:03:53Z
dc.descriptionA computer-aided detection (CADe) system for the identification of microcalcification clusters in digital mammograms has been developed. It is mainly based on the application of wavelet transforms for image filtering and neural networks for both the feature extraction and the classification procedures. This CADe system is easily adaptable to different databases. We report and compare the FROC curves obtained on the private database we used for developing the CADe system and on the publicly available MIAS database. The results achieved on the two databases show the same trend, thus demonstrating the good generalization capability of the system.
dc.description4 pages, 1 figure; Proceedings of the Frontier Science 2005, 4th International Conference on Frontier Science, 12-17 September, 2005, Milano, Italy
dc.identifierhttps://arxiv.org/abs/physics/0701243
dc.identifierhttp://arxiv.org/abs/physics/0701243
dc.identifierVolume XL. Frontier Science 2005 - New Frontiers in Subnuclear Physics. Eds. A. Pullia and M. Paganoni.
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/226970
dc.subjectMedical Physics
dc.titleA multi-scale approach to the computer-aided detection of microcalcification clusters in digital mammograms
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