Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Francesca Angelone"'
Autor:
Fabrizio Clemente, Francesco Amato, Sarah Adamo, Michela Russo, Francesca Angelone, Alfonso Maria Ponsiglione, Maria Romano
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e28723- (2024)
Electrical impedance spectroscopy (EIS) stands as a widely employed characterization technique for studying muscular tissue in both physio/pathological conditions. This methodology commonly involves modeling tissues through equivalent electrical circ
Externí odkaz:
https://doaj.org/article/7fb2728473ae4ca0bc09ce5a09db2f1f
Autor:
Mario Sansone, Roberta Fusco, Francesca Grassi, Gianluca Gatta, Maria Paola Belfiore, Francesca Angelone, Carlo Ricciardi, Alfonso Maria Ponsiglione, Francesco Amato, Roberta Galdiero, Roberta Grassi, Vincenza Granata, Roberto Grassi
Publikováno v:
Current Oncology, Vol 30, Iss 1, Pp 839-853 (2023)
Background: breast cancer (BC) is the world’s most prevalent cancer in the female population, with 2.3 million new cases diagnosed worldwide in 2020. The great efforts made to set screening campaigns, early detection programs, and increasingly targ
Externí odkaz:
https://doaj.org/article/6756dadbdfda4f1e8d350f78abc800bb
Autor:
Francesca Angelone, Alfonso Maria Ponsiglione, Carlo Ricciardi, Giuseppe Cesarelli, Mario Sansone, Francesco Amato
Publikováno v:
Journal of Imaging, Vol 9, Iss 7, p 134 (2023)
In addition to their recognized value for obtaining 3D digital dental models, intraoral scanners (IOSs) have recently been proven to be promising tools for oral health diagnostics. In this work, the most recent literature on IOSs was reviewed with a
Externí odkaz:
https://doaj.org/article/54b8c0e3584b4727a7375a058233d2f7
Publikováno v:
Journal of Personalized Medicine; Volume 13; Issue 7; Pages: 1104
Despite mammography (MG) being among the most widespread techniques in breast cancer screening, tumour detection and classification remain challenging tasks due to the high morphological variability of the lesions. The extraction of radiomics feature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::021e6f85e9462432211086f3676b8b37
Autor:
Mario Sansone, Alfonso Maria Ponsiglione, Francesca Angelone, Francesco Amato, Roberto Grassi
Publikováno v:
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE).
A mammographic image requires high contrast for soft tissue imaging. Even small amounts of dispersion reduce the high contrast required to make accurate diagnoses. Current systems for digital mammography use an anti-scatter grid to reduce the scatter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df60eff94855ca02d31f85514c6b9447
https://doi.org/10.1109/metroxraine54828.2022.9967675
https://doi.org/10.1109/metroxraine54828.2022.9967675