Application of dual-stream 3D convolutional neural network based on 18F-FDG PET/CT in distinguishing benign and invasive adenocarcinoma in ground-glass lung nodules

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2197-7364

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Application of dual-stream 3D convolutional neural network based on 18F-FDG PET/CT in distinguishing benign and invasive adenocarcinoma in ground-glass lung nodules ; volume:8 ; number:1 ; day:2 ; month:11 ; year:2021 ; pages:1-13 ; date:12.2021
EJNMMI Physics ; 8, Heft 1 (2.11.2021), 1-13, 12.2021

Creator: Shao, Xiaonan
Niu, Rong
Shao, Xiaoliang
Gao, Jianxiong
Shi, Yunmei
Jiang, Zhenxing
Wang, Yuetao

Contributor: SpringerLink (Online service)

DOI: 10.1186/s40658-021-00423-1

URN: urn:nbn:de:101:1-2022011619534223612480

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

Last update: 15.08.2025, 7:21 AM CEST

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Shao, Xiaonan
Niu, Rong
Shao, Xiaoliang
Gao, Jianxiong
Shi, Yunmei
Jiang, Zhenxing
Wang, Yuetao
SpringerLink (Online service)

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Application of dual-stream 3D convolutional neural network based on 18F-FDG PET/CT in distinguishing benign and invasive adenocarcinoma in ground-glass lung nodules

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Other Objects (12)

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