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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Опубликовано в: :J Med Imaging (Bellingham)
Главные авторы: 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.
Формат: Artigo
Язык:Inglês
Опубликовано: Society of Photo-Optical Instrumentation Engineers 2015
Предметы:
Special Section on Radiomics and Imaging Genomics
Online-ссылка: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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