Multi-Stage Temporal Convolutional Network with Moment Loss and Positional Encoding for Surgical Phase Recognition

Multi-Stage Temporal Convolutional Network with Moment Loss and Positional Encoding for Surgical Phase Recognition

In recent times, many studies concerning surgical video analysis are being conducted due to its growing importance in many medical applications. In particular, it is very important to be able to recognize the current surgical phase because the phase information can be utilized in various ways both d...

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Bibliographic Details
Main Authors: Minyoung Park, Seungtaek Oh, Taikyeong Jeong, Sungwook Yu
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Diagnostics
Subjects:
surgical phase recognition
Cholec80
moment loss
positional encoding
label smoothing
EfficientNet
Online Access:https://www.mdpi.com/2075-4418/13/1/107

Internet

https://www.mdpi.com/2075-4418/13/1/107

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