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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Society of Veterinary Science
2019
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Materias: | |
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 |