Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Pierluca Lanzi"'
Autor:
Noemi Gozzi, Edoardo Giacomello, Martina Sollini, Margarita Kirienko, Angela Ammirabile, Pierluca Lanzi, Daniele Loiacono, Arturo Chiti
Publikováno v:
Diagnostics, Vol 12, Iss 9, p 2084 (2022)
To identify the best transfer learning approach for the identification of the most frequent abnormalities on chest radiographs (CXRs), we used embeddings extracted from pretrained convolutional neural networks (CNNs). An explainable AI (XAI) model wa
Externí odkaz:
https://doaj.org/article/ab1abe57babe468b9ac1fde6ff2a73dc
Autor:
Martina Sollini, Daniele Loiacono, Daria Volpe, Alessandro Giaj Levra, Elettra Lomeo, Edoardo Giacomello, Margarita Kirienko, Arturo Chiti, Pierluca Lanzi
Publikováno v:
Radiology‐Nuclear Medicine Diagnostic Imaging. :826-837
Autor:
Noemi Gozzi, Edoardo Giacomello, Martina Sollini, Margarita Kirienko, Angela Ammirabile, Pierluca Lanzi, Daniele Loiacono, Arturo Chiti
Purpose To identify the best transfer learning approach in the identification of the most frequent abnormalities on chest radiograph (CXR) using embeddings extracted from pre-trained convolutional neural networks (CNNs). Explainable AI (XAI) model wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::caf82e46ceb9d5d5a46f37bf29f042b1
https://doi.org/10.21203/rs.3.rs-1361817/v1
https://doi.org/10.21203/rs.3.rs-1361817/v1