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Machine learning in radiation oncology: theory and applications
This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2015
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2043017 |