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ORIGINAL RESEARCH article

Front. Energy Res. , 14 February 2022

Sec. Smart Grids

Volume 9 - 2021 | https://doi.org/10.3389/fenrg.2021.813650

This article is part of the Research Topic Advanced Anomaly Detection Technologies and Applications in Energy Systems View all 64 articles

RETRACTED: Bone Age Assessment Based on Deep Convolutional Features and Fast Extreme Learning Machine Algorithm

Retracted

A retraction of this article was approved in:

  1. Retraction: Bone Age Assessment Based on Deep Convolutional Features and Fast Extreme Learning Machine Algorithm

    1. Read retraction
Longjun Guo Longjun Guo*Juan WangJuan WangJiaqi TengJiaqi TengYukun ChenYukun Chen
  • Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China

This article has been retracted. Please follow the link to the full retraction notice for details.

Citation: Guo L, Wang J, Teng J and Chen Y (2022) Bone Age Assessment Based on Deep Convolutional Features and Fast Extreme Learning Machine Algorithm. Front. Energy Res. 9:813650. doi: 10.3389/fenrg.2021.813650

Received: 12 November 2021; Accepted: 29 November 2021;
Published: 14 February 2022; Retracted: 06 February 2025.

Edited by:

Zhenhao Tang, Northeast Electric Power University, China

Reviewed by:

Heming Huang, Wuhan University, China
Junfeng Zhang, Hebei University, China

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.

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