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A Novel Unsupervised Approach for Minimally-invasive Video Segmentation

Temporal segmentation of laparoscopic video is the first step toward identifying anomalies and interrupts, recognizing actions, annotating video and assessing the surgeons' learning curve. In this paper, a novel approach for temporal segmentation of minimally-invasive videos (MIVS) is proposed....

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主要な著者: Khatibi, Toktam, Sepehri, Mohammad Mehdi, Shadpour, Pejman
フォーマット: Artigo
言語:Inglês
出版事項: Medknow Publications & Media Pvt Ltd 2014
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オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3967456/
https://ncbi.nlm.nih.gov/pubmed/24695410
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