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.

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2837817