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

Abstract Purpose This work aims to train, validate, and test a dual-stream three-dimensional convolutional neural network (3D-CNN) based on fluorine 18 (18F)-fluorodeoxyglucose (FDG) PET/CT to distinguish benign lesions and invasive adenocarcinoma (IAC) in ground-glass nodules (GGNs). Methods We ret...

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Auteurs principaux: Xiaonan Shao, Rong Niu, Xiaoliang Shao, Jianxiong Gao, Yunmei Shi, Zhenxing Jiang, Yuetao Wang
Format: article
Langue:EN
Publié: SpringerOpen 2021
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Accès en ligne:https://doaj.org/article/9441fcd5608447b39f27ca47d353e6d6
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