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Correction: Automatic classification of cervical cancer from cytological images by using convolutional neural network

Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6459232/
https://www.ncbi.nlm.nih.gov/pubmed/30940773
http://dx.doi.org/10.1042/BSR-20181769_COR
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spelling pubmed-64592322019-04-22 Correction: Automatic classification of cervical cancer from cytological images by using convolutional neural network Biosci Rep Corrections Portland Press Ltd. 2019-04-02 /pmc/articles/PMC6459232/ /pubmed/30940773 http://dx.doi.org/10.1042/BSR-20181769_COR Text en © 2019 The Author(s). http://creativecommons.org/licenses/by/4.0/This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY) (http://creativecommons.org/licenses/by/4.0/) .
spellingShingle Corrections
Correction: Automatic classification of cervical cancer from cytological images by using convolutional neural network
title Correction: Automatic classification of cervical cancer from cytological images by using convolutional neural network
title_full Correction: Automatic classification of cervical cancer from cytological images by using convolutional neural network
title_fullStr Correction: Automatic classification of cervical cancer from cytological images by using convolutional neural network
title_full_unstemmed Correction: Automatic classification of cervical cancer from cytological images by using convolutional neural network
title_short Correction: Automatic classification of cervical cancer from cytological images by using convolutional neural network
title_sort correction: automatic classification of cervical cancer from cytological images by using convolutional neural network
topic Corrections
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6459232/
https://www.ncbi.nlm.nih.gov/pubmed/30940773
http://dx.doi.org/10.1042/BSR-20181769_COR