Retracted: An Efficient Stacked Deep Transfer Learning Model for Automated Diagnosis of Lyme Disease

Detalles Bibliográficos
Autor principal: Intelligence and Neuroscience, Computational
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Retraction
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10396455/
https://www.ncbi.nlm.nih.gov/pubmed/37538607
http://dx.doi.org/10.1155/2023/9793473
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spelling pubmed-103964552023-08-03 Retracted: An Efficient Stacked Deep Transfer Learning Model for Automated Diagnosis of Lyme Disease Intelligence and Neuroscience, Computational Comput Intell Neurosci Retraction Hindawi 2023-07-26 /pmc/articles/PMC10396455/ /pubmed/37538607 http://dx.doi.org/10.1155/2023/9793473 Text en Copyright © 2023 Computational Intelligence and Neuroscience. 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
Intelligence and Neuroscience, Computational
Retracted: An Efficient Stacked Deep Transfer Learning Model for Automated Diagnosis of Lyme Disease
title Retracted: An Efficient Stacked Deep Transfer Learning Model for Automated Diagnosis of Lyme Disease
title_full Retracted: An Efficient Stacked Deep Transfer Learning Model for Automated Diagnosis of Lyme Disease
title_fullStr Retracted: An Efficient Stacked Deep Transfer Learning Model for Automated Diagnosis of Lyme Disease
title_full_unstemmed Retracted: An Efficient Stacked Deep Transfer Learning Model for Automated Diagnosis of Lyme Disease
title_short Retracted: An Efficient Stacked Deep Transfer Learning Model for Automated Diagnosis of Lyme Disease
title_sort retracted: an efficient stacked deep transfer learning model for automated diagnosis of lyme disease
topic Retraction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10396455/
https://www.ncbi.nlm.nih.gov/pubmed/37538607
http://dx.doi.org/10.1155/2023/9793473
work_keys_str_mv AT intelligenceandneurosciencecomputational retractedanefficientstackeddeeptransferlearningmodelforautomateddiagnosisoflymedisease

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