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Evaluation of Prediction Models for Identifying Malignancy in Pulmonary Nodules Detected via Low-Dose Computed Tomography.
Gonzalez Maldonado, S. (First author)DKFZ* ; Delorme, S.DKFZ* ; Hüsing, A.DKFZ* ; Motsch, E.DKFZ* ; Kauczor, H.-U. ; Heussel, C.-P. ; Kaaks, R. (Last author)DKFZ*
2020
American Medical Association
Chicago, Ill.
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Please use a persistent id in citations: doi:10.1001/jamanetworkopen.2019.21221
Abstract: Evaluation of Prediction Models for Identifying Malignancy in Pulmonary Nodules Detected via Low-Dose Computed Tomography.
Note: JAMA Network Open (JAMA Netw Open) = 2574-3805 (import from CrossRef, PubMed, )E-ISSN(s):2574-3805 ZDB-Nummer:2931249-8 2020 Feb 5;3(2):e1921221#EA:C020#LA:C020#
Contributing Institute(s):
- C020 Epidemiologie von Krebs (C020)
- E010 Radiologie (E010)
Research Program(s):
- 313 - Cancer risk factors and prevention (POF3-313) (POF3-313)
Appears in the scientific report
2020
Database coverage:
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