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Retracted: A Novel Hybrid Deep Learning Approach for Skin Lesion Segmentation and Classification

Detalles Bibliográficos
Autor principal: Healthcare Engineering, Journal of
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232179/
https://www.ncbi.nlm.nih.gov/pubmed/37266208
http://dx.doi.org/10.1155/2023/9832712
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author Healthcare Engineering, Journal of
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spelling pubmed-102321792023-06-01 Retracted: A Novel Hybrid Deep Learning Approach for Skin Lesion Segmentation and Classification Healthcare Engineering, Journal of J Healthc Eng Retraction Hindawi 2023-05-24 /pmc/articles/PMC10232179/ /pubmed/37266208 http://dx.doi.org/10.1155/2023/9832712 Text en Copyright © 2023 Journal of Healthcare Engineering. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Retraction
Healthcare Engineering, Journal of
Retracted: A Novel Hybrid Deep Learning Approach for Skin Lesion Segmentation and Classification
title Retracted: A Novel Hybrid Deep Learning Approach for Skin Lesion Segmentation and Classification
title_full Retracted: A Novel Hybrid Deep Learning Approach for Skin Lesion Segmentation and Classification
title_fullStr Retracted: A Novel Hybrid Deep Learning Approach for Skin Lesion Segmentation and Classification
title_full_unstemmed Retracted: A Novel Hybrid Deep Learning Approach for Skin Lesion Segmentation and Classification
title_short Retracted: A Novel Hybrid Deep Learning Approach for Skin Lesion Segmentation and Classification
title_sort retracted: a novel hybrid deep learning approach for skin lesion segmentation and classification
topic Retraction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232179/
https://www.ncbi.nlm.nih.gov/pubmed/37266208
http://dx.doi.org/10.1155/2023/9832712
work_keys_str_mv AT healthcareengineeringjournalof retractedanovelhybriddeeplearningapproachforskinlesionsegmentationandclassification