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...

Descripción completa

Detalles Bibliográficos
Autores principales: Gazis, Athanasios, Karaiskos, Pantelis, Loukas, Constantinos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9774918/
https://www.ncbi.nlm.nih.gov/pubmed/36550943
http://dx.doi.org/10.3390/bioengineering9120737

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9774918/
https://www.ncbi.nlm.nih.gov/pubmed/36550943
http://dx.doi.org/10.3390/bioengineering9120737

Ejemplares similares