Future Trends and Challenges of Molecular Imaging and AI Innovation: Proceedings of FASMI 2020
Gespeichert in:
Weitere Verfasser: | , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cham
Springer International Publishing
2022
Cham Springer |
Ausgabe: | 1st ed. 2022 |
Schriftenreihe: | Springer Proceedings in Physics
272 |
Schlagworte: | |
Online-Zugang: | BFB01 FKE01 TUM01 UBM01 UBT01 UBY01 Volltext |
Beschreibung: | 1 Online-Ressource (XI, 90 p. 42 illus., 36 illus. in color) |
ISBN: | 9783030927868 |
ISSN: | 1867-4941 |
DOI: | 10.1007/978-3-030-92786-8 |
Internformat
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Datensatz im Suchindex
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discipline | Physik Biologie |
discipline_str_mv | Physik Biologie |
doi_str_mv | 10.1007/978-3-030-92786-8 |
edition | 1st ed. 2022 |
format | Electronic eBook |
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index_date | 2024-07-03T19:21:11Z |
indexdate | 2024-07-10T09:23:55Z |
institution | BVB |
isbn | 9783030927868 |
issn | 1867-4941 |
language | English |
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physical | 1 Online-Ressource (XI, 90 p. 42 illus., 36 illus. in color) |
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publishDate | 2022 |
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publisher | Springer International Publishing Springer |
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series2 | Springer Proceedings in Physics |
spelling | Future Trends and Challenges of Molecular Imaging and AI Innovation Proceedings of FASMI 2020 edited by Kang-Ping Lin, Ren-Shyan Liu, Bang-Hung Yang 1st ed. 2022 Cham Springer International Publishing 2022 Cham Springer 1 Online-Ressource (XI, 90 p. 42 illus., 36 illus. in color) txt rdacontent c rdamedia cr rdacarrier Springer Proceedings in Physics 272 1867-4941 Biophysics Biomedical Engineering and Bioengineering Biomedical Research Machine Learning Measurement Science and Instrumentation Biomedical engineering Medicine—Research Biology—Research Machine learning Measurement Measuring instruments Lin, Kang-Ping edt Liu, Ren-Shyan edt Yang, Bang-Hung edt Erscheint auch als Druck-Ausgabe 978-3-030-92785-1 Erscheint auch als Druck-Ausgabe 978-3-030-92787-5 Erscheint auch als Druck-Ausgabe 978-3-030-92788-2 https://doi.org/10.1007/978-3-030-92786-8 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Future Trends and Challenges of Molecular Imaging and AI Innovation Proceedings of FASMI 2020 Biophysics Biomedical Engineering and Bioengineering Biomedical Research Machine Learning Measurement Science and Instrumentation Biomedical engineering Medicine—Research Biology—Research Machine learning Measurement Measuring instruments |
title | Future Trends and Challenges of Molecular Imaging and AI Innovation Proceedings of FASMI 2020 |
title_auth | Future Trends and Challenges of Molecular Imaging and AI Innovation Proceedings of FASMI 2020 |
title_exact_search | Future Trends and Challenges of Molecular Imaging and AI Innovation Proceedings of FASMI 2020 |
title_exact_search_txtP | Future Trends and Challenges of Molecular Imaging and AI Innovation Proceedings of FASMI 2020 |
title_full | Future Trends and Challenges of Molecular Imaging and AI Innovation Proceedings of FASMI 2020 edited by Kang-Ping Lin, Ren-Shyan Liu, Bang-Hung Yang |
title_fullStr | Future Trends and Challenges of Molecular Imaging and AI Innovation Proceedings of FASMI 2020 edited by Kang-Ping Lin, Ren-Shyan Liu, Bang-Hung Yang |
title_full_unstemmed | Future Trends and Challenges of Molecular Imaging and AI Innovation Proceedings of FASMI 2020 edited by Kang-Ping Lin, Ren-Shyan Liu, Bang-Hung Yang |
title_short | Future Trends and Challenges of Molecular Imaging and AI Innovation |
title_sort | future trends and challenges of molecular imaging and ai innovation proceedings of fasmi 2020 |
title_sub | Proceedings of FASMI 2020 |
topic | Biophysics Biomedical Engineering and Bioengineering Biomedical Research Machine Learning Measurement Science and Instrumentation Biomedical engineering Medicine—Research Biology—Research Machine learning Measurement Measuring instruments |
topic_facet | Biophysics Biomedical Engineering and Bioengineering Biomedical Research Machine Learning Measurement Science and Instrumentation Biomedical engineering Medicine—Research Biology—Research Machine learning Measurement Measuring instruments |
url | https://doi.org/10.1007/978-3-030-92786-8 |
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