An Automatic System to Discriminate Malignant from Benign Massive Lesions on Mammograms
| dc.creator | Retico, A. | |
| dc.creator | Delogu, P. | |
| dc.creator | Fantacci, M. E. | |
| dc.creator | Kasae, P. | |
| dc.date | 2007-01-04 | |
| dc.date.accessioned | 2026-07-07T07:38:37Z | |
| dc.date.available | 2026-07-07T07:38:37Z | |
| dc.description | Mammography is widely recognized as the most reliable technique for early detection of breast cancers. Automated or semi-automated computerized classification schemes can be very useful in assisting radiologists with a second opinion about the visual diagnosis of breast lesions, thus leading to a reduction in the number of unnecessary biopsies. We present a computer-aided diagnosis (CADi) system for the characterization of massive lesions in mammograms, whose aim is to distinguish malignant from benign masses. The CADi system we realized is based on a three-stage algorithm: a) a segmentation technique extracts the contours of the massive lesion from the image; b) sixteen features based on size and shape of the lesion are computed; c) a neural classifier merges the features into an estimated likelihood of malignancy. A dataset of 226 massive lesions (109 malignant and 117 benign) has been used in this study. The system performances have been evaluated terms of the receiver-operating characteristic (ROC) analysis, obtaining A_z = 0.80+-0.04 as the estimated area under the ROC curve. | |
| dc.description | 6 pages, 3 figures; Proceedings of the ITBS 2005, 3rd International Conference on Imaging Technologies in Biomedical Sciences, 25-28 September 2005, Milos Island, Greece | |
| dc.identifier | https://arxiv.org/abs/physics/0701053 | |
| dc.identifier | http://arxiv.org/abs/physics/0701053 | |
| dc.identifier | Nuclear Instruments and Methods in Physics Research A 569 (2006) 596-600 | |
| dc.identifier | doi:10.1016/j.nima.2006.08.093 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/121154 | |
| dc.subject | Medical Physics | |
| dc.title | An Automatic System to Discriminate Malignant from Benign Massive Lesions on Mammograms | |
| dc.type | text |