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Retracted: Research on Lung Ultrasound Image Classification Based on Compressed Sensing

Detalles Bibliográficos
Autor principal: Engineering, Journal of Healthcare
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9718613/
https://www.ncbi.nlm.nih.gov/pubmed/36465245
http://dx.doi.org/10.1155/2022/9840591
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author Engineering, Journal of Healthcare
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spelling pubmed-97186132022-12-03 Retracted: Research on Lung Ultrasound Image Classification Based on Compressed Sensing Engineering, Journal of Healthcare J Healthc Eng Retraction Hindawi 2022-11-25 /pmc/articles/PMC9718613/ /pubmed/36465245 http://dx.doi.org/10.1155/2022/9840591 Text en Copyright © 2022 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
Engineering, Journal of Healthcare
Retracted: Research on Lung Ultrasound Image Classification Based on Compressed Sensing
title Retracted: Research on Lung Ultrasound Image Classification Based on Compressed Sensing
title_full Retracted: Research on Lung Ultrasound Image Classification Based on Compressed Sensing
title_fullStr Retracted: Research on Lung Ultrasound Image Classification Based on Compressed Sensing
title_full_unstemmed Retracted: Research on Lung Ultrasound Image Classification Based on Compressed Sensing
title_short Retracted: Research on Lung Ultrasound Image Classification Based on Compressed Sensing
title_sort retracted: research on lung ultrasound image classification based on compressed sensing
topic Retraction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9718613/
https://www.ncbi.nlm.nih.gov/pubmed/36465245
http://dx.doi.org/10.1155/2022/9840591
work_keys_str_mv AT engineeringjournalofhealthcare retractedresearchonlungultrasoundimageclassificationbasedoncompressedsensing