Retraction: A predictive model based on ground glass nodule features via high-resolution CT for identifying invasiveness of lung adenocarcinoma

Bibliographic Details
Main Author: Frontiers Editorial Office
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Surgery
Online Access:https://www.frontiersin.org/articles/10.3389/fsurg.2023.1307339/full
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author Frontiers Editorial Office
author_facet Frontiers Editorial Office
author_sort Frontiers Editorial Office
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issn 2296-875X
language English
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publisher Frontiers Media S.A.
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spelling doaj.art-158fb05eb909437fadfecb9348ba59392023-10-13T08:17:22ZengFrontiers Media S.A.Frontiers in Surgery2296-875X2023-10-011010.3389/fsurg.2023.13073391307339Retraction: A predictive model based on ground glass nodule features via high-resolution CT for identifying invasiveness of lung adenocarcinomaFrontiers Editorial Officehttps://www.frontiersin.org/articles/10.3389/fsurg.2023.1307339/full
spellingShingle Frontiers Editorial Office
Retraction: A predictive model based on ground glass nodule features via high-resolution CT for identifying invasiveness of lung adenocarcinoma
Frontiers in Surgery
title Retraction: A predictive model based on ground glass nodule features via high-resolution CT for identifying invasiveness of lung adenocarcinoma
title_full Retraction: A predictive model based on ground glass nodule features via high-resolution CT for identifying invasiveness of lung adenocarcinoma
title_fullStr Retraction: A predictive model based on ground glass nodule features via high-resolution CT for identifying invasiveness of lung adenocarcinoma
title_full_unstemmed Retraction: A predictive model based on ground glass nodule features via high-resolution CT for identifying invasiveness of lung adenocarcinoma
title_short Retraction: A predictive model based on ground glass nodule features via high-resolution CT for identifying invasiveness of lung adenocarcinoma
title_sort retraction a predictive model based on ground glass nodule features via high resolution ct for identifying invasiveness of lung adenocarcinoma
url https://www.frontiersin.org/articles/10.3389/fsurg.2023.1307339/full
work_keys_str_mv AT frontierseditorialoffice retractionapredictivemodelbasedongroundglassnodulefeaturesviahighresolutionctforidentifyinginvasivenessoflungadenocarcinoma