This article is a correction to:
A Non-invasive Method to Diagnose Lung Adenocarcinoma
Mengmeng Yan1,2
Weidong Wang3,4*- 1Urban Vocational College of Sichuan, Chengdu, China
- 2School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
- 3Department of Radiation Oncology, Sichuan Cancer Hospital and Institute, Chengdu, China
- 4Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China
A Corrigendum on
A Non-invasive Method to Diagnose Lung Adenocarcinoma
by Yan, M., and Wang, W. (2020). Front. Oncol. 10:602. doi: 10.3389/fonc.2020.00602
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.
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, SwitzerlandCopyright © 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, MTgzODAxNzE4NjMmI3gwMDA0MDsxNjMuY29t