Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Zaharudin Haron"'
Autor:
Lars Johannes Isaksson, Matteo Pepa, Paul Summers, Mattia Zaffaroni, Maria Giulia Vincini, Giulia Corrao, Giovanni Carlo Mazzola, Marco Rotondi, Giuliana Lo Presti, Sara Raimondi, Sara Gandini, Stefania Volpe, Zaharudin Haron, Sarah Alessi, Paola Pricolo, Francesco Alessandro Mistretta, Stefano Luzzago, Federica Cattani, Gennaro Musi, Ottavio De Cobelli, Marta Cremonesi, Roberto Orecchia, Giulia Marvaso, Giuseppe Petralia, Barbara Alicja Jereczek-Fossa
Publikováno v:
BMC Medical Imaging, Vol 23, Iss 1, Pp 1-16 (2023)
Abstract Background Contouring of anatomical regions is a crucial step in the medical workflow and is both time-consuming and prone to intra- and inter-observer variability. This study compares different strategies for automatic segmentation of the p
Externí odkaz:
https://doaj.org/article/3d66160ccfa04aa8a396ed21a6418f4d
Autor:
Lars Johannes Isaksson, Paul Summers, Abhir Bhalerao, Sara Gandini, Sara Raimondi, Matteo Pepa, Mattia Zaffaroni, Giulia Corrao, Giovanni Carlo Mazzola, Marco Rotondi, Giuliana Lo Presti, Zaharudin Haron, Sara Alessi, Paola Pricolo, Francesco Alessandro Mistretta, Stefano Luzzago, Federica Cattani, Gennaro Musi, Ottavio De Cobelli, Marta Cremonesi, Roberto Orecchia, Giulia Marvaso, Giuseppe Petralia, Barbara Alicja Jereczek-Fossa
Publikováno v:
Insights into Imaging, Vol 13, Iss 1, Pp 1-10 (2022)
Abstract Objective Deploying an automatic segmentation model in practice should require rigorous quality assurance (QA) and continuous monitoring of the model’s use and performance, particularly in high-stakes scenarios such as healthcare. Currentl
Externí odkaz:
https://doaj.org/article/20e462da68664a30a6fae1db9ba29b24
Autor:
Lars Johannes Isaksson, Marco Repetto, Paul Eugene Summers, Matteo Pepa, Mattia Zaffaroni, Maria Giulia Vincini, Giulia Corrao, Giovanni Carlo Mazzola, Marco Rotondi, Federica Bellerba, Sara Raimondi, Zaharudin Haron, Sarah Alessi, Paula Pricolo, Francesco Alessandro Mistretta, Stefano Luzzago, Federica Cattani, Gennaro Musi, Ottavio De Cobelli, Marta Cremonesi, Roberto Orecchia, Davide La Torre, Giulia Marvaso, Giuseppe Petralia, Barbara Alicja Jereczek-Fossa
Publikováno v:
Informatics in Medicine Unlocked, Vol 37, Iss , Pp 101161- (2023)
When researchers are faced with building machine learning (ML) radiomic models, the first choice they have to make is what model to use. Naturally, the goal is to use the model with the best performance. But what is the best model? It is well known i
Externí odkaz:
https://doaj.org/article/642d6fad0d344f849ee0d52f917d2016
Autor:
Lars Johannes, Isaksson, Paul, Summers, Abhir, Bhalerao, Sara, Gandini, Sara, Raimondi, Matteo, Pepa, Mattia, Zaffaroni, Giulia, Corrao, Giovanni Carlo, Mazzola, Marco, Rotondi, Giuliana, Lo Presti, Zaharudin, Haron, Sara, Alessi, Paola, Pricolo, Francesco Alessandro, Mistretta, Stefano, Luzzago, Federica, Cattani, Gennaro, Musi, Ottavio, De Cobelli, Marta, Cremonesi, Roberto, Orecchia, Giulia, Marvaso, Giuseppe, Petralia, Barbara Alicja, Jereczek-Fossa
Deploying an automatic segmentation model in practice should require rigorous quality assurance (QA) and continuous monitoring of the model's use and performance, particularly in high-stakes scenarios such as healthcare. Currently, however, tools to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::626d7799df35bddb618e00ba2cc52df7
https://hdl.handle.net/2434/948548
https://hdl.handle.net/2434/948548
