Machine learning approach for distinguishing malignant and benign lung nodules utilizing standardized perinodular parenchymal features from CT

PURPOSE: Computed tomography (CT) is an effective method for detecting and characterizing lung nodules in vivo. With the growing use of chest CT, the detection frequency of lung nodules is increasing. Noninvasive methods to distinguish malignant from benign nodules have the potential to decrease the...

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Foilsithe in:Med Phys
Main Authors: Uthoff, Johanna, Stephens, Matthew J., Newell, John D., Hoffman, Eric A., Larson, Jared, Koehn, Nicholas, De Stefano, Frank A., Lusk, Chrissy M., Wenzlaff, Angela S., Watza, Donovan, Neslund‐Dudas, Christine, Carr, Laurie L., Lynch, David A., Schwartz, Ann G., Sieren, Jessica C.
Formáid: Artigo
Teanga:Inglês
Foilsithe: John Wiley and Sons Inc. 2019
Ábhair:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
Rochtain Ar Líne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6945763/
https://ncbi.nlm.nih.gov/pubmed/31087332
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13592
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