Assessment of Automated Identification of Phases in Videos of Cataract Surgery Using Machine Learning and Deep Learning Techniques

IMPORTANCE: Competence in cataract surgery is a public health necessity, and videos of cataract surgery are routinely available to educators and trainees but currently are of limited use in training. Machine learning and deep learning techniques can yield tools that efficiently segment videos of cat...

詳細記述

保存先:
書誌詳細
出版年:JAMA Netw Open
主要な著者: Yu, Felix, Silva Croso, Gianluca, Kim, Tae Soo, Song, Ziang, Parker, Felix, Hager, Gregory D., Reiter, Austin, Vedula, S. Swaroop, Ali, Haider, Sikder, Shameema
フォーマット: Artigo
言語:Inglês
出版事項: American Medical Association 2019
主題:
Original Investigation
オンライン･アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6450320/
https://ncbi.nlm.nih.gov/pubmed/30951163
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamanetworkopen.2019.1860
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