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Classification of radiographic lung pattern based on texture analysis and machine learning

This study evaluated the feasibility of using texture analysis and machine learning to distinguish radiographic lung patterns. A total of 1200 regions of interest (ROIs) including four specific lung patterns (normal, alveolar, bronchial, and unstructured interstitial) were obtained from 512 thoracic...

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Detalles Bibliográficos
Autores principales:	Yoon, Youngmin, Hwang, Taesung, Choi, Hojung, Lee, Heechun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	The Korean Society of Veterinary Science 2019
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6669202/ https://www.ncbi.nlm.nih.gov/pubmed/31364328 http://dx.doi.org/10.4142/jvs.2019.20.e44

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