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- Title:
Ability of 18F-FDG Positron Emission Tomography Radiomics and Machine Learning in Predicting KRAS Mutation Status in Therapy-Naive Lung Adenocarcinoma
- Document type:
- Zeitschriftenaufsatz
- Author(s):
- Zhang, Ruiyun ; Shi, Kuangyu ; Hohenforst-Schmidt, Wolfgang ; Steppert, Claus ; Sziklavari, Zsolt ; Schmidkonz, Christian ; Atzinger, Armin ; Hartmann, Arndt ; Vieth, Michael ; Förster, Stefan
- Keywords:
- Article ; PET ; KRAS ; machine learning ; lung adenocarcinoma ; radiomic features
- Journal title:
- Cancers
- Year:
- 2023
- Journal volume:
- 15
- Journal issue:
- 14
- Fulltext / DOI:
- doi:10.3390/cancers15143684
- Publisher:
- MDPI
- E-ISSN:
- 2072-6694
- Date of publication:
- 19.07.2023
- CC license:
- by, https://creativecommons.org/licenses/by/4.0
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