Surgical Gesture Recognition in Laparoscopic Tasks Based on the Transformer Network and Self-Supervised Learning

Surgical Gesture Recognition in Laparoscopic Tasks Based on the Transformer Network and Self-Supervised Learning

In this study, we propose a deep learning framework and a self-supervision scheme for video-based surgical gesture recognition. The proposed framework is modular. First, a 3D convolutional network extracts feature vectors from video clips for encoding spatial and short-term temporal features. Second...

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Bibliographic Details
Main Authors: Athanasios Gazis, Pantelis Karaiskos, Constantinos Loukas
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Bioengineering
Subjects:
artificial intelligence
machine learning
CNN
transformer
laparoscopic surgery
surgical action recognition
Online Access:https://www.mdpi.com/2306-5354/9/12/737

Internet

https://www.mdpi.com/2306-5354/9/12/737

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