Automatic MRI segmentation of para-pharyngeal fat pads using interactive visual feature space analysis for classification

BACKGROUND: Obstructive sleep apnea (OSA) is a public health problem. Detailed analysis of the para-pharyngeal fat pads can help us to understand the pathogenesis of OSA and may mediate the intervention of this sleeping disorder. A reliable and automatic para-pharyngeal fat pads segmentation techniq...

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Detalles Bibliográficos
Autores principales: Shahid, Muhammad Laiq Ur Rahman, Chitiboi, Teodora, Ivanovska, Tetyana, Molchanov, Vladimir, Völzke, Henry, Linsen, Lars
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5309996/
https://www.ncbi.nlm.nih.gov/pubmed/28196476
http://dx.doi.org/10.1186/s12880-017-0179-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5309996/
https://www.ncbi.nlm.nih.gov/pubmed/28196476
http://dx.doi.org/10.1186/s12880-017-0179-7

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