Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Serena Pacilè"'
Publikováno v:
Life, Vol 13, Iss 2, p 440 (2023)
We propose a methodology for monitoring an artificial intelligence (AI) tool for breast cancer screening when deployed in clinical centers. An AI trained to detect suspicious regions of interest in the four views of a mammogram and to characterize th
Externí odkaz:
https://doaj.org/article/3500da699bc54011913e28514299ae21
Autor:
Sandro Donato, Serena Pacilè, Federico Colombo, Chiara Garrovo, Simeone Dal Monego, Paolo Macor, Giuliana Tromba, Stefania Biffi
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-7 (2017)
Abstract It is increasingly recognized that early detection of bone erosion plays an important role in the overall evaluation of rheumatoid arthritis and in the choice of the correct treatment approach. Since an appropriate use of imaging biomarkers
Externí odkaz:
https://doaj.org/article/ab602848eed0499594ed72f0d31587be
Publikováno v:
16th International Workshop on Breast Imaging (IWBI2022).
Autor:
Stefano Raffaele Giannubilo, Serena Pacilè, Andrea Ciavattini, Giovanni Delli Carpini, Alessandro Zannotti, Stefania Greco, Alessandra Giuliani, Giuliana Tromba, Pasquapina Ciarmela
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-11 (2019)
Scientific Reports
Scientific Reports
Uterine leiomyoma is the most common benign smooth muscle tumor in women pelvis, originating from the myometrium. It is caused by a disorder of fibrosis, with a large production and disruption of extracellular matrix (ECM). Medical treatments are sti
Autor:
Lorella Pascolo, Gabriella Zito, Geroge Kourousias, Giuliana Tromba, Marina Zweyer, Serena Pacilè, Alessandra Gianoncelli, Giuseppe Ricci, Regina C. Barroso, Alice Cernogoraz, G. Sena, Brian D. Metscher, Federico Romano
Publikováno v:
Journal of Synchrotron Radiation. 26:1322-1329
Laboratory and synchrotron X-ray tomography are powerful tools for non-invasive studies of biological samples at micrometric resolution. In particular, the development of phase contrast imaging is enabling the visualization of sample details with a s
Autor:
Bruno Golosio, Viviana Fanti, Angelo Taibi, Renata Longo, Maria Assunta Cova, Adriano Contillo, Paolo Russo, Luigi Rigon, Francesca Di Lillo, Piernicola Oliva, Luca Brombal, Diego Dreossi, Deborah Bonazza, Fabrizio Zanconati, Antonio Sarno, Maura Tonutti, Vittorio Di Trapani, Christian Fedon, Ubaldo Bottigli, Pasquale Delogu, Fulvia Arfelli, Sandro Donato, Giuliana Tromba, Giovanni Mettivier, Serena Pacilè
Publikováno v:
Journal of Synchrotron Radiation, 26, 1343-1353
Journal of Synchrotron Radiation, 26, Pt 4, pp. 1343-1353
Journal of Synchrotron Radiation, 26, Pt 4, pp. 1343-1353
Item does not contain fulltext Breast computed tomography (BCT) is an emerging application of X-ray tomography in radiological practice. A few clinical prototypes are under evaluation in hospitals and new systems are under development aiming at impro
Autor:
Christian Dullin, Sheridan C Mayo, Marian Cholewa, Fulvia Arfelli, Timur E. Gureyev, Harry M. Quiney, Diego Dreossi, Zdenka Prodanovic, Matthew Richard Dimmock, Fabrizio Zanconati, Patrycja Baran, Patrick C. Brennan, Yakov Nesterets, Mikkaela McCormack, Serena Pacilè, Darren Thompson, Giuliana Tromba, Jane Fox
Publikováno v:
IEEE Transactions on Medical Imaging. 37:2642-2650
Histopathological analysis is the current gold standard in breast cancer diagnosis and management, however, as imaging technology improves, the amount of potential diagnostic information that may be demonstrable radiologically should also increase. W
Autor:
Patrycja Baran, Susanne Wienbeck, Patrick C. Brennan, Konstantin Mikhailovitch Pavlov, Fulvia Arfelli, Anton Maksimenko, Seyedamir Tavakoli Taba, Diego Dreossi, Giuliana Tromba, Serena Pacilè, Sarah J. Lewis, Sheridan C. Mayo, Harry M. Quiney, Christian Dullin, Timur E. Gureyev, Darren Lockie, Yakov Nesterets
To evaluate and compare the image quality of propagation-based phase-contrast computed tomography (PB-CT) using synchrotron radiation and conventional cone-beam breast computed tomography (CBBCT) based on various radiological image quality criteria.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::daa1742bde0853e25ff2d52617c97f81
http://hdl.handle.net/11368/2966644
http://hdl.handle.net/11368/2966644