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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This article has been retracted.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

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