The tool is designed to assist Prostate Cancer diagnosis, from the patient data management to the final medical report, helping to limit the subjectivity in the MR data analysis, and reducing the requested reporting time. It provides a voxel-wise malignancy probability map, obtained by feeding into a SVM classifier a set of quantitative and semi-quantitative features, extracted from morphological (T2-w) and functional (DCE and DW) MR sequences [1]. It allows the simultaneous visualization of all MR sequences, improving the comparison of images. It supports the user with a set of image interacting tools. It supplies quantitative or semi-quantitative measurements on selected areas. It allows the reporting of annotations related to one of the 16 prostatic regions of interest.
A Computer Aided Diagnosis System To Detect Prostate Cancer With Endorectal Multiparametric MRI / Savino, Alessandro; Giannini, V.; Vignati, A.; Mazzetti, S.; Benso, Alfredo; Bracco, C.; DI CARLO, Stefano; Politano, GIANFRANCO MICHELE MARIA; Stasi, M.; Russo, F.; Regge, D.. - ELETTRONICO. - (2013). (Intervento presentato al convegno 99th Scientific Assembly and Annual Meeting of the Radiological Society of North America tenutosi a Chicago (IL), USA nel 1-6 Dec, 2013).
A Computer Aided Diagnosis System To Detect Prostate Cancer With Endorectal Multiparametric MRI
SAVINO, ALESSANDRO;Giannini V.;BENSO, Alfredo;DI CARLO, STEFANO;POLITANO, GIANFRANCO MICHELE MARIA;
2013
Abstract
The tool is designed to assist Prostate Cancer diagnosis, from the patient data management to the final medical report, helping to limit the subjectivity in the MR data analysis, and reducing the requested reporting time. It provides a voxel-wise malignancy probability map, obtained by feeding into a SVM classifier a set of quantitative and semi-quantitative features, extracted from morphological (T2-w) and functional (DCE and DW) MR sequences [1]. It allows the simultaneous visualization of all MR sequences, improving the comparison of images. It supports the user with a set of image interacting tools. It supplies quantitative or semi-quantitative measurements on selected areas. It allows the reporting of annotations related to one of the 16 prostatic regions of interest.Pubblicazioni consigliate
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https://hdl.handle.net/11583/2525286
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