Predicting invasion in early-stage ground-glass opacity pulmonary adenocarcinoma: a radiomics-based machine learning approach
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Predicting invasion in early-stage ground-glass opacity pulmonary adenocarcinoma: a radiomics-based machine learning approach ; volume:24 ; number:1 ; day:13 ; month:9 ; year:2024 ; pages:1-10 ; date:12.2024
BMC medical imaging ; 24, Heft 1 (13.9.2024), 1-10, 12.2024
- Creator
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Bin, Junjie
Wu, Mei
Huang, Meiyun
Liao, Yuguang
Yang, Yuli
Shi, Xianqiong
Tao, Siqi
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12880-024-01421-2
- URN
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urn:nbn:de:101:1-2411272108136.040719184320
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:36 AM CEST
Data provider
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Associated
- Bin, Junjie
- Wu, Mei
- Huang, Meiyun
- Liao, Yuguang
- Yang, Yuli
- Shi, Xianqiong
- Tao, Siqi
- SpringerLink (Online service)
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DNA methylation patterns at and beyond the histological margin of early-stage invasive lung adenocarcinoma radiologically manifested as pure ground-glass opacity
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