Multi-classification model incorporating radiomics and clinic-radiological features for predicting invasiveness and differentiation of pulmonary adenocarcinoma nodules

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Multi-classification model incorporating radiomics and clinic-radiological features for predicting invasiveness and differentiation of pulmonary adenocarcinoma nodules ; volume:22 ; number:1 ; day:30 ; month:11 ; year:2023 ; pages:1-21 ; date:12.2023
Biomedical engineering online ; 22, Heft 1 (30.11.2023), 1-21, 12.2023

Creator: Sun, Haitao
Zhang, Chunling
Ouyang, Aimei
Dai, Zhengjun
Song, Peiji
Yao, Jian

Contributor: SpringerLink (Online service)

DOI: 10.1186/s12938-023-01180-1

URN: urn:nbn:de:101:1-2024021916181575074515

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:54 AM CEST

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Sun, Haitao
Zhang, Chunling
Ouyang, Aimei
Dai, Zhengjun
Song, Peiji
Yao, Jian
SpringerLink (Online service)

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Multi-classification model incorporating radiomics and clinic-radiological features for predicting invasiveness and differentiation of pulmonary adenocarcinoma nodules

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Other Objects (12)

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