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Retracted: Value of Artificial Neural Network Ultrasound in Improving Breast Cancer Diagnosis

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/PMC10371692/
https://www.ncbi.nlm.nih.gov/pubmed/37502050
http://dx.doi.org/10.1155/2023/9872174
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author Intelligence and Neuroscience, Computational
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spelling pubmed-103716922023-07-27 Retracted: Value of Artificial Neural Network Ultrasound in Improving Breast Cancer Diagnosis Intelligence and Neuroscience, Computational Comput Intell Neurosci Retraction Hindawi 2023-07-19 /pmc/articles/PMC10371692/ /pubmed/37502050 http://dx.doi.org/10.1155/2023/9872174 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: Value of Artificial Neural Network Ultrasound in Improving Breast Cancer Diagnosis
title Retracted: Value of Artificial Neural Network Ultrasound in Improving Breast Cancer Diagnosis
title_full Retracted: Value of Artificial Neural Network Ultrasound in Improving Breast Cancer Diagnosis
title_fullStr Retracted: Value of Artificial Neural Network Ultrasound in Improving Breast Cancer Diagnosis
title_full_unstemmed Retracted: Value of Artificial Neural Network Ultrasound in Improving Breast Cancer Diagnosis
title_short Retracted: Value of Artificial Neural Network Ultrasound in Improving Breast Cancer Diagnosis
title_sort retracted: value of artificial neural network ultrasound in improving breast cancer diagnosis
topic Retraction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371692/
https://www.ncbi.nlm.nih.gov/pubmed/37502050
http://dx.doi.org/10.1155/2023/9872174
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