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ORIGINAL RESEARCH article
Front. Surg. , 26 August 2022
Sec. Surgical Oncology
Volume 9 - 2022 | https://doi.org/10.3389/fsurg.2022.973523
This article is part of the Research Topic Methods in Surgical Oncology View all 34 articles
A retraction of this article was approved in:
Retraction: A predictive model based on ground glass nodule features via high-resolution CT for identifying invasiveness of lung adenocarcinoma
Citation: Yan B, Chang Y, Jiang Y, Liu Y, Yuan J and Li R (2022) A predictive model based on ground glass nodule features via high-resolution CT for identifying invasiveness of lung adenocarcinoma. Front. Surg. 9:973523. doi: 10.3389/fsurg.2022.973523
Received: 20 June 2022; Accepted: 8 August 2022;
Published: 26 August 2022;
Retracted: 13 October 2023.
Edited by:
Boris Gala-Lopez, Dalhousie University, CanadaReviewed by:
Song Xu, Tianjin Medical University General Hospital, ChinaSpecialty Section: his article was submitted to Surgical Oncology, a section of the journal Frontiers in Surgery
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