Retraction: Bone age assessment based on deep convolutional features and fast extreme learning machine algorithm

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Bibliographic Details
Main Author: Frontiers Editorial Office
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Energy Research
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2025.1570343/full
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author Frontiers Editorial Office
author_facet Frontiers Editorial Office
author_sort Frontiers Editorial Office
collection DOAJ
format Article
id doaj-art-05ec3836403b44ca8ad686abdb20a59f
institution Kabale University
issn 2296-598X
language English
publishDate 2025-02-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Energy Research
spelling doaj-art-05ec3836403b44ca8ad686abdb20a59f2025-02-10T12:01:24ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2025-02-011310.3389/fenrg.2025.15703431570343Retraction: Bone age assessment based on deep convolutional features and fast extreme learning machine algorithmFrontiers Editorial Officehttps://www.frontiersin.org/articles/10.3389/fenrg.2025.1570343/full
spellingShingle Frontiers Editorial Office
Retraction: Bone age assessment based on deep convolutional features and fast extreme learning machine algorithm
Frontiers in Energy Research
title Retraction: Bone age assessment based on deep convolutional features and fast extreme learning machine algorithm
title_full Retraction: Bone age assessment based on deep convolutional features and fast extreme learning machine algorithm
title_fullStr Retraction: Bone age assessment based on deep convolutional features and fast extreme learning machine algorithm
title_full_unstemmed Retraction: Bone age assessment based on deep convolutional features and fast extreme learning machine algorithm
title_short Retraction: Bone age assessment based on deep convolutional features and fast extreme learning machine algorithm
title_sort retraction bone age assessment based on deep convolutional features and fast extreme learning machine algorithm
url https://www.frontiersin.org/articles/10.3389/fenrg.2025.1570343/full
work_keys_str_mv AT frontierseditorialoffice retractionboneageassessmentbasedondeepconvolutionalfeaturesandfastextremelearningmachinealgorithm