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

Guo, Longjun; Wang, Juan; Teng, Jiaqi; Chen, Yukun

doi:10.3389/fenrg.2021.813650

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 TopicAdvanced Anomaly Detection Technologies and Applications in Energy SystemsView 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:

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

Longjun Guo*

Juan Wang

Jiaqi Teng

Yukun 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This article has been retracted.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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