Archivio Istituzionale della RicercaThe current study aimed to systematically review the literature addressing the use of deep learning (DL) methods in intraoperative surgery applications, focusing on the data collection, the objectives of these tools and, more technically, the DL-based paradigms utilized.
Intraoperative surgery room management: A deep learning perspective / Tanzi, Leonardo; Piazzolla, Pietro; Vezzetti, Enrico. - In: THE INTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY. - ISSN 1478-5951. - ercs2136:(2020). [10.1002/rcs.2136]
Intraoperative surgery room management: A deep learning perspective
Tanzi, Leonardo;Piazzolla, Pietro;Vezzetti, Enrico
2020
Abstract
The current study aimed to systematically review the literature addressing the use of deep learning (DL) methods in intraoperative surgery applications, focusing on the data collection, the objectives of these tools and, more technically, the DL-based paradigms utilized.
File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
rcs.2136.pdf
non disponibili
Tipologia:
2a Post-print versione editoriale / Version of Record
Licenza:
Non Pubblico - Accesso privato/ristretto
Dimensione
7.58 MB
Formato
Adobe PDF
|
7.58 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/11583/2837817