Evaluating 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 Az= 0.80 ± 0.04.
Delogu, P., Fantacci, M.E., Kasae, P., Retico, A. (2006). An automatic system to discriminate malignant from benign massive lesions in mammograms. In Frascati Physics Series (pp. 377-380). Pisa : Istituto Nazionale di Fisica Nucleare.
An automatic system to discriminate malignant from benign massive lesions in mammograms
Delogu, P.;
2006-01-01
Abstract
Evaluating 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 Az= 0.80 ± 0.04.
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https://hdl.handle.net/11365/1035005