Web-video-mining-supported workflow modeling for laparoscopic surgeries

作者：

Highlights：

• An automatic video-mining method is developed to retrieve abundant highly-qualified web videos as the training data.

• A reliable SWM is generated to assist a surgical system with surgery understanding.

• This reliable and valuable knowledge is learned to support an intelligent surgical system in performing tasks such as abnormal surgery operation detection and instrument recommendation.

• It is feasible for an intelligent surgical system to learn reliable SWM knowledge in an economic way.

摘要

•An automatic video-mining method is developed to retrieve abundant highly-qualified web videos as the training data.•A reliable SWM is generated to assist a surgical system with surgery understanding.•This reliable and valuable knowledge is learned to support an intelligent surgical system in performing tasks such as abnormal surgery operation detection and instrument recommendation.•It is feasible for an intelligent surgical system to learn reliable SWM knowledge in an economic way.

论文关键词：Topic modeling,Sentiment analysis,Web video mining,Surgical workflow modeling,Laparoscopic surgery

论文评审过程：Received 24 March 2016, Revised 11 November 2016, Accepted 13 November 2016, Available online 18 November 2016, Version of Record 23 November 2016.

论文官网地址：https://doi.org/10.1016/j.artmed.2016.11.002