Ability of 18F-FDG Positron Emission Tomography Radiomics and Machine Learning in Predicting KRAS Mutation Status in Therapy-Naive Lung Adenocarcinoma:
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| Main Authors: | , , , , , , , , , |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Erlangen ; Nürnberg
Friedrich-Alexander-Universität Erlangen-Nürnberg
2023
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| Subjects: | |
| Online Access: | Volltext Volltext Volltext |
| Physical Description: | 1 Online-Ressource |
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Record in the Search Index
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| author | Zhang, Ruiyun Shi, Kuangyu Hohenforst-Schmidt, Wolfgang Steppert, Claus Sziklavari, Zsolt Schmidkonz, Christian Atzinger, Armin Hartmann, Arndt Vieth, Michael Förster, Stefan |
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| spelling | Zhang, Ruiyun Verfasser aut Ability of 18F-FDG Positron Emission Tomography Radiomics and Machine Learning in Predicting KRAS Mutation Status in Therapy-Naive Lung Adenocarcinoma Ruiyun Zhang, Kuangyu Shi, Wolfgang Hohenforst-Schmidt, Claus Steppert, Zsolt Sziklavari, Christian Schmidkonz, Armin Atzinger, Arndt Hartmann, Michael Vieth, Stefan Förster Erlangen ; Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg 2023 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager PET KRAS machine learning lung adenocarcinoma radiomic features Shi, Kuangyu Verfasser aut Hohenforst-Schmidt, Wolfgang Verfasser aut Steppert, Claus Verfasser aut Sziklavari, Zsolt Verfasser aut Schmidkonz, Christian Verfasser aut Atzinger, Armin Verfasser aut Hartmann, Arndt Verfasser aut Vieth, Michael Verfasser aut Förster, Stefan Verfasser aut Sonderdruck aus Cancers Vol. 15 (2023) 10.3390/cancers15143684 https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-237538 Resolving-System kostenfrei Volltext https://d-nb.info/1299000878/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext application/pdf https://open.fau.de/handle/openfau/23753 Verlag kostenfrei Volltext 1\p emakn 0,07883 20230812 DE-101 https://d-nb.info/provenance/plan#emakn 2\p emasg 0,80711 20230812 DE-101 https://d-nb.info/provenance/plan#emasg 3\p npi 20230811 DE-101 https://d-nb.info/provenance/plan#npi |
| spellingShingle | Zhang, Ruiyun Shi, Kuangyu Hohenforst-Schmidt, Wolfgang Steppert, Claus Sziklavari, Zsolt Schmidkonz, Christian Atzinger, Armin Hartmann, Arndt Vieth, Michael Förster, Stefan Ability of 18F-FDG Positron Emission Tomography Radiomics and Machine Learning in Predicting KRAS Mutation Status in Therapy-Naive Lung Adenocarcinoma |
| title | Ability of 18F-FDG Positron Emission Tomography Radiomics and Machine Learning in Predicting KRAS Mutation Status in Therapy-Naive Lung Adenocarcinoma |
| title_auth | Ability of 18F-FDG Positron Emission Tomography Radiomics and Machine Learning in Predicting KRAS Mutation Status in Therapy-Naive Lung Adenocarcinoma |
| title_exact_search | Ability of 18F-FDG Positron Emission Tomography Radiomics and Machine Learning in Predicting KRAS Mutation Status in Therapy-Naive Lung Adenocarcinoma |
| title_full | Ability of 18F-FDG Positron Emission Tomography Radiomics and Machine Learning in Predicting KRAS Mutation Status in Therapy-Naive Lung Adenocarcinoma Ruiyun Zhang, Kuangyu Shi, Wolfgang Hohenforst-Schmidt, Claus Steppert, Zsolt Sziklavari, Christian Schmidkonz, Armin Atzinger, Arndt Hartmann, Michael Vieth, Stefan Förster |
| title_fullStr | Ability of 18F-FDG Positron Emission Tomography Radiomics and Machine Learning in Predicting KRAS Mutation Status in Therapy-Naive Lung Adenocarcinoma Ruiyun Zhang, Kuangyu Shi, Wolfgang Hohenforst-Schmidt, Claus Steppert, Zsolt Sziklavari, Christian Schmidkonz, Armin Atzinger, Arndt Hartmann, Michael Vieth, Stefan Förster |
| title_full_unstemmed | Ability of 18F-FDG Positron Emission Tomography Radiomics and Machine Learning in Predicting KRAS Mutation Status in Therapy-Naive Lung Adenocarcinoma Ruiyun Zhang, Kuangyu Shi, Wolfgang Hohenforst-Schmidt, Claus Steppert, Zsolt Sziklavari, Christian Schmidkonz, Armin Atzinger, Arndt Hartmann, Michael Vieth, Stefan Förster |
| title_short | Ability of 18F-FDG Positron Emission Tomography Radiomics and Machine Learning in Predicting KRAS Mutation Status in Therapy-Naive Lung Adenocarcinoma |
| title_sort | ability of 18f fdg positron emission tomography radiomics and machine learning in predicting kras mutation status in therapy naive lung adenocarcinoma |
| url | https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-237538 https://d-nb.info/1299000878/34 https://open.fau.de/handle/openfau/23753 |
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