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Retracted: A Lightweight Semantic Segmentation Algorithm Based on Deep Convolutional Neural Networks

Detalles Bibliográficos
Autor principal: Intelligence and Neuroscience, Computational
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10586433/
https://www.ncbi.nlm.nih.gov/pubmed/37868752
http://dx.doi.org/10.1155/2023/9790234
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author Intelligence and Neuroscience, Computational
author_facet Intelligence and Neuroscience, Computational
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spelling pubmed-105864332023-10-20 Retracted: A Lightweight Semantic Segmentation Algorithm Based on Deep Convolutional Neural Networks Intelligence and Neuroscience, Computational Comput Intell Neurosci Retraction Hindawi 2023-10-11 /pmc/articles/PMC10586433/ /pubmed/37868752 http://dx.doi.org/10.1155/2023/9790234 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: A Lightweight Semantic Segmentation Algorithm Based on Deep Convolutional Neural Networks
title Retracted: A Lightweight Semantic Segmentation Algorithm Based on Deep Convolutional Neural Networks
title_full Retracted: A Lightweight Semantic Segmentation Algorithm Based on Deep Convolutional Neural Networks
title_fullStr Retracted: A Lightweight Semantic Segmentation Algorithm Based on Deep Convolutional Neural Networks
title_full_unstemmed Retracted: A Lightweight Semantic Segmentation Algorithm Based on Deep Convolutional Neural Networks
title_short Retracted: A Lightweight Semantic Segmentation Algorithm Based on Deep Convolutional Neural Networks
title_sort retracted: a lightweight semantic segmentation algorithm based on deep convolutional neural networks
topic Retraction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10586433/
https://www.ncbi.nlm.nih.gov/pubmed/37868752
http://dx.doi.org/10.1155/2023/9790234
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