Development of machine learning-based spatially and temporally resolved 4D radiomics in radiation oncology
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| Main Author: | |
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| Format: | Book/Monograph Thesis |
| Language: | English |
| Published: |
Heidelberg
2022
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| DOI: | 10.11588/heidok.00032102 |
| Subjects: | |
| Online Access: | Resolving-System, kostenfrei: https://nbn-resolving.de/urn:nbn:de:bsz:16-heidok-321028 Resolving-System, kostenfrei: http://dx.doi.org/10.11588/heidok.00032102 Verlag, kostenfrei, Volltext: http://www.ub.uni-heidelberg.de/archiv/32102 Resolving-System, kostenfrei: https://nbn-resolving.org/urn:nbn:de:bsz:16-heidok-321028 Langzeitarchivierung Nationalbibliothek, kostenfrei: https://d-nb.info/1277257833/34 
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| Author Notes: | vorgelegt von Francesco Sforazzini ; Doktorvater: Herr Prof. Dr.med. Dr.rer.nat. Jürgen Debus |
| Physical Description: | Online Resource |
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| DOI: | 10.11588/heidok.00032102 |