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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Dades bibliogràfiques
Publicat a:Med Phys
Autors principals: 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.
Format: Artigo
Idioma:Inglês
Publicat: John Wiley and Sons Inc. 2019
Matèries:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
Accés en línia: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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