In the published article, there was an error regarding the affiliations for Mengmeng Yan. As well as having affiliation 2, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China, they should also have Urban Vocational College of Sichuan, Chengdu, China.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Summary
Keywords
radiomics, texture analysis, lung adenocarcinoma, multi-instance learning, lung cancer histological types
Citation
Yan M and Wang W (2020) Corrigendum: A Non-invasive Method to Diagnose Lung Adenocarcinoma. Front. Oncol. 10:1515. doi: 10.3389/fonc.2020.01515
Received
13 July 2020
Accepted
14 July 2020
Published
20 August 2020
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
10 - 2020
Updates
Copyright
© 2020 Yan and Wang.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Weidong Wang 18380171863@163.com
This article was submitted to Cancer Imaging and Image-directed Interventions, a section of the journal Frontiers in Oncology
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.