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Surgical Phase Recognition in Laparoscopic Cholecystectomy

2022-06-14 22:55:31
Yunfan Li, Vinayak Shenoy, Prateek Prasanna, I.V. Ramakrishnan, Haibin Ling, Himanshu Gupta

Abstract

Automatic recognition of surgical phases in surgical videos is a fundamental task in surgical workflow analysis. In this report, we propose a Transformer-based method that utilizes calibrated confidence scores for a 2-stage inference pipeline, which dynamically switches between a baseline model and a separately trained transition model depending on the calibrated confidence level. Our method outperforms the baseline model on the Cholec80 dataset, and can be applied to a variety of action segmentation methods.

Abstract (translated)

URL

https://arxiv.org/abs/2206.07198

PDF

https://arxiv.org/pdf/2206.07198.pdf


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