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Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy

This brief review summarizes the major applications of artificial intelligence (AI), in particular deep learning approaches, in molecular imaging and radiation therapy research. To this end, the applications of artificial intelligence in five generic fields of molecular imaging and radiation therapy...

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Detalles Bibliográficos
Autores principales: Arabi, Hossein, Zaidi, Habib
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8218135/
https://www.ncbi.nlm.nih.gov/pubmed/34191161
http://dx.doi.org/10.1186/s41824-020-00086-8
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author Arabi, Hossein
Zaidi, Habib
author_facet Arabi, Hossein
Zaidi, Habib
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description This brief review summarizes the major applications of artificial intelligence (AI), in particular deep learning approaches, in molecular imaging and radiation therapy research. To this end, the applications of artificial intelligence in five generic fields of molecular imaging and radiation therapy, including PET instrumentation design, PET image reconstruction quantification and segmentation, image denoising (low-dose imaging), radiation dosimetry and computer-aided diagnosis, and outcome prediction are discussed. This review sets out to cover briefly the fundamental concepts of AI and deep learning followed by a presentation of seminal achievements and the challenges facing their adoption in clinical setting.
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spelling pubmed-82181352021-06-24 Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy Arabi, Hossein Zaidi, Habib Eur J Hybrid Imaging Review This brief review summarizes the major applications of artificial intelligence (AI), in particular deep learning approaches, in molecular imaging and radiation therapy research. To this end, the applications of artificial intelligence in five generic fields of molecular imaging and radiation therapy, including PET instrumentation design, PET image reconstruction quantification and segmentation, image denoising (low-dose imaging), radiation dosimetry and computer-aided diagnosis, and outcome prediction are discussed. This review sets out to cover briefly the fundamental concepts of AI and deep learning followed by a presentation of seminal achievements and the challenges facing their adoption in clinical setting. Springer International Publishing 2020-09-23 /pmc/articles/PMC8218135/ /pubmed/34191161 http://dx.doi.org/10.1186/s41824-020-00086-8 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review
Arabi, Hossein
Zaidi, Habib
Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy
title Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy
title_full Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy
title_fullStr Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy
title_full_unstemmed Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy
title_short Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy
title_sort applications of artificial intelligence and deep learning in molecular imaging and radiotherapy
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8218135/
https://www.ncbi.nlm.nih.gov/pubmed/34191161
http://dx.doi.org/10.1186/s41824-020-00086-8
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