This article is a retraction of:
RETRACTED: Bone Age Assessment Based on Deep Convolutional Features and Fast Extreme Learning Machine Algorithm
Frontiers Editorial OfficeA Retraction of the Original Research Article
Bone age assessment based on deep convolutional features and fast extreme learning machine algorithm
by Guo L, Wang J, Teng J and Chen Y (2022). Front. Energy Res. 9:813650. doi: 10.3389/fenrg.2021.813650
The journal retracts the 19 May 2022 article cited above.
Following publication, concerns were raised regarding the scientific validity of the article. An investigation was conducted in accordance with Frontiers’ policies.
The authors failed to provide raw data and/or a satisfactory explanation and as a result, the conclusions of the article have been deemed unreliable, and the article has been retracted.
This retraction was approved by the Chief Executive Editor of Frontiers. The authors received a communication regarding the retraction and had a chance to respond. This communication has been recorded by the publisher.
Citation: Frontiers Editorial Office (2025) Retraction: Bone age assessment based on deep convolutional features and fast extreme learning machine algorithm. Front. Energy Res. 13:1570343. doi: 10.3389/fenrg.2025.1570343
Received: 03 February 2025; Accepted: 03 February 2025;
Published: 10 February 2025.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2025 Frontiers Editorial Office. 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.
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