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

Author:

Uthoff Johanna12,Stephens Matthew J.3,Newell John D.12,Hoffman Eric A.12,Larson Jared2,Koehn Nicholas2,De Stefano Frank A.2,Lusk Chrissy M.4,Wenzlaff Angela S.4,Watza Donovan4,Neslund‐Dudas Christine5,Carr Laurie L.6,Lynch David A.7,Schwartz Ann G.4,Sieren Jessica C.12

Affiliation:

1. Department of Biomedical Engineering University of Iowa Iowa City IA 52240USA

2. Department of Radiology University of Iowa Iowa City IA 52242USA

3. Department of Radiology University of Cincinnati Cincinnati OH 45267USA

4. Karmanos Cancer Institute Wayne State University Detroit MI 48201USA

5. Department of Public Health Sciences Henry Ford Health System Detroit MI 48202USA

6. Department of Medicine National Jewish Health DenverCO 80206USA

7. Department of Radiology National Jewish Health Denver CO 80206USA

Funder

Holden Comprehensive Cancer Center, University of Iowa

National Heart, Lung, and Blood Institute

National Cancer Institute

Publisher

Wiley

Subject

General Medicine

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