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Current status of deep learning applications in abdominal ultrasonography

Deep learning is one of the most popular artificial intelligence techniques used in the medical field. Although it is at an early stage compared to deep learning analyses of computed tomography or magnetic resonance imaging, studies applying deep learning to ultrasound imaging have been actively con...

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Autor principal: Song, Kyoung Doo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Ultrasound in Medicine 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994733/
https://www.ncbi.nlm.nih.gov/pubmed/33242931
http://dx.doi.org/10.14366/usg.20085
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author Song, Kyoung Doo
author_facet Song, Kyoung Doo
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description Deep learning is one of the most popular artificial intelligence techniques used in the medical field. Although it is at an early stage compared to deep learning analyses of computed tomography or magnetic resonance imaging, studies applying deep learning to ultrasound imaging have been actively conducted. This review analyzes recent studies that applied deep learning to ultrasound imaging of various abdominal organs and explains the challenges encountered in these applications.
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spelling pubmed-79947332021-04-06 Current status of deep learning applications in abdominal ultrasonography Song, Kyoung Doo Ultrasonography Special Review of Artificial Intelligence (part 2) Deep learning is one of the most popular artificial intelligence techniques used in the medical field. Although it is at an early stage compared to deep learning analyses of computed tomography or magnetic resonance imaging, studies applying deep learning to ultrasound imaging have been actively conducted. This review analyzes recent studies that applied deep learning to ultrasound imaging of various abdominal organs and explains the challenges encountered in these applications. Korean Society of Ultrasound in Medicine 2021-04 2020-09-02 /pmc/articles/PMC7994733/ /pubmed/33242931 http://dx.doi.org/10.14366/usg.20085 Text en Copyright © 2021 Korean Society of Ultrasound in Medicine (KSUM) This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Special Review of Artificial Intelligence (part 2)
Song, Kyoung Doo
Current status of deep learning applications in abdominal ultrasonography
title Current status of deep learning applications in abdominal ultrasonography
title_full Current status of deep learning applications in abdominal ultrasonography
title_fullStr Current status of deep learning applications in abdominal ultrasonography
title_full_unstemmed Current status of deep learning applications in abdominal ultrasonography
title_short Current status of deep learning applications in abdominal ultrasonography
title_sort current status of deep learning applications in abdominal ultrasonography
topic Special Review of Artificial Intelligence (part 2)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994733/
https://www.ncbi.nlm.nih.gov/pubmed/33242931
http://dx.doi.org/10.14366/usg.20085
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