Neural network-based model for evaluating inert nodules and volume doubling time in T1 lung adenocarcinoma: a nested case−control study

Neural network-based model for evaluating inert nodules and volume doubling time in T1 lung adenocarcinoma: a nested case−control study

ObjectiveThe purpose of this study is to establish model for assessing inert nodules predicting nodule volume-doubling.MethodsA total of 201 patients with T1 lung adenocarcinoma were analysed retrospectively pulmonary nodule information was predicted by an AI pulmonary nodule auxiliary diagnosis sys...

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Bibliographic Details
Main Authors: Bing Wang, Hui Zhang, Wei Li, Siyun Fu, Ye Li, Xiang Gao, Dongpo Wang, Xinjie Yang, Shaofa Xu, Jinghui Wang, Dailun Hou
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Oncology
Subjects:
neural network
inert nodules
volume doubling time
T1 lung adenocarcinoma
computer tomograph
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1037052/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1037052/full

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