Phase Segmentation Methods for an Automatic Surgical Workflow Analysis

In this paper, we present robust methods for automatically segmenting phases in a specified surgical workflow by using latent Dirichlet allocation (LDA) and hidden Markov model (HMM) approaches. More specifically, our goal is to output an appropriate phase label for each given time point of a surgic...

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Detalles Bibliográficos
Autores principales: Tran, Dinh Tuan, Sakurai, Ryuhei, Yamazoe, Hirotake, Lee, Joo-Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5376475/
https://www.ncbi.nlm.nih.gov/pubmed/28408921
http://dx.doi.org/10.1155/2017/1985796

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5376475/
https://www.ncbi.nlm.nih.gov/pubmed/28408921
http://dx.doi.org/10.1155/2017/1985796

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