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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Bibliografiska uppgifter
I publikationen:Med Phys
Huvudupphovsmän: 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.
Materialtyp: Artigo
Språk:Inglês
Publicerad: John Wiley and Sons Inc. 2019
Ämnen:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
Länkar: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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