WITHDRAWN: Automatic optimized CNN based COVID-19 lung infection segmentation from CT image

This article has been withdrawn: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). This article has been withdrawn as part of the withdrawal of the Proceedings of the International Conference on Emerging Trends in Materials Sc...

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Autores principales: Priya, C., Sithi Shameem Fathima, S.M.H., Kirubanandasarathy, N., Valanarasid, A., Safana Begam, M.H., Aiswarya, N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Withdrawal Notice
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862904/
https://www.ncbi.nlm.nih.gov/pubmed/33564622
http://dx.doi.org/10.1016/j.matpr.2021.01.820
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author Priya, C.
Sithi Shameem Fathima, S.M.H.
Kirubanandasarathy, N.
Valanarasid, A.
Safana Begam, M.H.
Aiswarya, N.
author_facet Priya, C.
Sithi Shameem Fathima, S.M.H.
Kirubanandasarathy, N.
Valanarasid, A.
Safana Begam, M.H.
Aiswarya, N.
author_sort Priya, C.
collection PubMed
description This article has been withdrawn: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). This article has been withdrawn as part of the withdrawal of the Proceedings of the International Conference on Emerging Trends in Materials Science, Technology and Engineering (ICMSTE2K21). Subsequent to acceptance of these Proceedings papers by the responsible Guest Editors, Dr S. Sakthivel, Dr S. Karthikeyan and Dr I. A. Palani, several serious concerns arose regarding the integrity and veracity of the conference organisation and peer-review process. After a thorough investigation, the peer-review process was confirmed to fall beneath the high standards expected by Materials Today: Proceedings. The veracity of the conference also remains subject to serious doubt and therefore the entire Proceedings has been withdrawn in order to correct the scholarly record.
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spelling pubmed-78629042021-02-05 WITHDRAWN: Automatic optimized CNN based COVID-19 lung infection segmentation from CT image Priya, C. Sithi Shameem Fathima, S.M.H. Kirubanandasarathy, N. Valanarasid, A. Safana Begam, M.H. Aiswarya, N. Mater Today Proc Withdrawal Notice This article has been withdrawn: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). This article has been withdrawn as part of the withdrawal of the Proceedings of the International Conference on Emerging Trends in Materials Science, Technology and Engineering (ICMSTE2K21). Subsequent to acceptance of these Proceedings papers by the responsible Guest Editors, Dr S. Sakthivel, Dr S. Karthikeyan and Dr I. A. Palani, several serious concerns arose regarding the integrity and veracity of the conference organisation and peer-review process. After a thorough investigation, the peer-review process was confirmed to fall beneath the high standards expected by Materials Today: Proceedings. The veracity of the conference also remains subject to serious doubt and therefore the entire Proceedings has been withdrawn in order to correct the scholarly record. Elsevier Ltd. 2021-02-05 /pmc/articles/PMC7862904/ /pubmed/33564622 http://dx.doi.org/10.1016/j.matpr.2021.01.820 Text en © 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the Emerging Trends in Materials Science, Technology and Engineering. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Withdrawal Notice
Priya, C.
Sithi Shameem Fathima, S.M.H.
Kirubanandasarathy, N.
Valanarasid, A.
Safana Begam, M.H.
Aiswarya, N.
WITHDRAWN: Automatic optimized CNN based COVID-19 lung infection segmentation from CT image
title WITHDRAWN: Automatic optimized CNN based COVID-19 lung infection segmentation from CT image
title_full WITHDRAWN: Automatic optimized CNN based COVID-19 lung infection segmentation from CT image
title_fullStr WITHDRAWN: Automatic optimized CNN based COVID-19 lung infection segmentation from CT image
title_full_unstemmed WITHDRAWN: Automatic optimized CNN based COVID-19 lung infection segmentation from CT image
title_short WITHDRAWN: Automatic optimized CNN based COVID-19 lung infection segmentation from CT image
title_sort withdrawn: automatic optimized cnn based covid-19 lung infection segmentation from ct image
topic Withdrawal Notice
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862904/
https://www.ncbi.nlm.nih.gov/pubmed/33564622
http://dx.doi.org/10.1016/j.matpr.2021.01.820
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