Computed Tomography Features of Lung Structure Have Utility for Differentiating Malignant and Benign Pulmonary Nodules.

Uthoff, Johanna M; Mott, Sarah L; Larson, Jared; Neslund-Dudas, Christine M; Schwartz, Ann G; Sieren, Jessica C

Uthoff, Johanna M; Mott, Sarah L; Larson, Jared; Neslund-Dudas, Christine M; Schwartz, Ann G; Sieren, Jessica C.

Afiliación

Uthoff JM; Department of Radiology, University of Iowa, Iowa City, Iowa, United States.
Mott SL; Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa, United States.
Larson J; Holden Comprehensive Cancer Center, University of Iowa, Iowa City, Iowa, United States.
Neslund-Dudas CM; Holden Comprehensive Cancer Center, University of Iowa, Iowa City, Iowa, United States.
Schwartz AG; Department of Radiology, University of Iowa, Iowa City, Iowa, United States.
Sieren JC; Department of Public Health Sciences, Henry Ford Health System, Detroit, Michigan, United States.

Chronic Obstr Pulm Dis ; 9(2): 154-164, 2022 Apr 29.

Article en En | MEDLINE | ID: mdl-35021316

Palabras clave

artificial intelligence; cancer risk assessment; chronic obstructive pulmonary disease; machine learning; quantitative computed tomography

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Chronic Obstr Pulm Dis Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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