Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Maria Laura Di Vittorio"'
Autor:
Domenica Matranga, Alessia Angela Maria Orlando, Maria Laura Di Vittorio, Mariangela Dimarco, R. Ienzi, Tommaso Vincenzo Bartolotta, Francesco Amato
Publikováno v:
J Ultrasound
Background: To assess inter-reader agreement for US BI-RADS descriptors using S-Detect: a computer-guided decision-making software assisting in US morphologic analysis. Methods: 73 solid focal breast lesions (FBLs) (mean size: 15.9mm) in 73 consecuti
Autor:
Tommaso Vincenzo Bartolotta, Massimo Midiri, Francesco Amato, Roberto Lagalla, Alessia Angela Maria Orlando, Domenica Matranga, Maria Laura Di Vittorio, Vito Cantisani, Alessandra Cirino, Raffele Ienzi
Objectives: to assess the diagnostic performance of a computer-guided decision- making software (S-Detect) in the US characterization of focal breast lesions (FBLs), according to the radiologist's experience. Materials and Methods: 300 FBLs (size: 2.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31f1330a8e6e96f51059a652f1c44238
http://hdl.handle.net/10447/325885
http://hdl.handle.net/10447/325885
Autor:
Salvatore Vitabile, Alessandro Bruno, Roberto Lagalla, Edoardo Ardizzone, Albert Comelli, Federica Ienzi, Maria Laura Di Vittorio
Publikováno v:
Image Analysis and Processing-ICIAP 2017 ISBN: 9783319685595
ICIAP (1)
ICIAP (1)
In this paper an automatic multi-seed detection method for magnetic resonance (MR) breast image segmentation is presented. The proposed method consists of three steps: (1) pre-processing step to locate three regions of interest (axillary and sternal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2d427b7e204ee79695b07bff6509d76
http://hdl.handle.net/10447/249652
http://hdl.handle.net/10447/249652