Improved pulmonary nodule classification utilizing quantitative lung parenchyma features

Current computer-aided diagnosis (CAD) models for determining pulmonary nodule malignancy characterize nodule shape, density, and border in computed tomography (CT) data. Analyzing the lung parenchyma surrounding the nodule has been minimally explored. We hypothesize that improved nodule classificat...

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Detalles Bibliográficos
Publicado en:J Med Imaging (Bellingham)
Main Authors: Dilger, Samantha K. N., Uthoff, Johanna, Judisch, Alexandra, Hammond, Emily, Mott, Sarah L., Smith, Brian J., Newell, John D., Hoffman, Eric A., Sieren, Jessica C.
Formato: Artigo
Idioma:Inglês
Publicado: Society of Photo-Optical Instrumentation Engineers 2015
Assuntos:
Special Section on Radiomics and Imaging Genomics
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC4748146/
https://ncbi.nlm.nih.gov/pubmed/26870744
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.2.4.041004
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