Surgical Phase Recognition: From Public Datasets to Real-World Data

Surgical Phase Recognition: From Public Datasets to Real-World Data

Automated recognition of surgical phases is a prerequisite for computer-assisted analysis of surgeries. The research on phase recognition has been mostly driven by publicly available datasets of laparoscopic cholecystectomy (Lap Chole) videos. Yet, videos observed in real-world settings might contai...

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Bibliographic Details
Main Authors: Kadir Kirtac, Nizamettin Aydin, Joël L. Lavanchy, Guido Beldi, Marco Smit, Michael S. Woods, Florian Aspart
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Applied Sciences
Subjects:
Laparoscopic videos
cholecystectomy
deep learning
convolutional neural network
phase recognition
surgical data science
Online Access:https://www.mdpi.com/2076-3417/12/17/8746

Internet

https://www.mdpi.com/2076-3417/12/17/8746

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