An automatic system to discriminate malignant from benign massive lesions in mammograms

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dc.creatorDelogu, P.
dc.creatorFantacci, M. E.
dc.creatorKasae, P.
dc.creatorRetico, A.
dc.date2007-01-22
dc.date.accessioned2026-07-07T13:03:54Z
dc.date.available2026-07-07T13:03:54Z
dc.descriptionEvaluating the degree of malignancy of a massive lesion on the basis of the mere visual analysis of the mammogram is a non-trivial task. We developed a semi-automated system for massive-lesion characterization with the aim to support the radiological diagnosis. A dataset of 226 masses has been used in the present analysis. The system performances have been evaluated in terms of the area under the ROC curve, obtaining A_z=0.80+-0.04.
dc.description4 pages, 2 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/0701244
dc.identifierhttp://arxiv.org/abs/physics/0701244
dc.identifierVolume XL. Frontier Science 2005 - New Frontiers in Subnuclear Physics. Eds. A. Pullia and M. Paganoni.
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/226971
dc.subjectMedical Physics
dc.titleAn automatic system to discriminate malignant from benign massive lesions in mammograms
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