Automated prediction of emphysema visual score using homology-based quantification of low-attenuation lung region

OBJECTIVE: The purpose of this study was to investigate the relationship between visual score of emphysema and homology-based emphysema quantification (HEQ) and evaluate whether visual score was accurately predicted by machine learning and HEQ. MATERIALS AND METHODS: A total of 115 anonymized comput...

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Detalles Bibliográficos
Autores principales: Nishio, Mizuho, Nakane, Kazuaki, Kubo, Takeshi, Yakami, Masahiro, Emoto, Yutaka, Nishio, Mari, Togashi, Kaori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5444793/
https://www.ncbi.nlm.nih.gov/pubmed/28542398
http://dx.doi.org/10.1371/journal.pone.0178217

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5444793/
https://www.ncbi.nlm.nih.gov/pubmed/28542398
http://dx.doi.org/10.1371/journal.pone.0178217

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