Machine learning applications in radiation oncology: Current use and needs to support clinical implementation

Machine learning applications in radiation oncology: Current use and needs to support clinical implementation

Background and purpose: The use of artificial intelligence (AI)/ machine learning (ML) applications in radiation oncology is emerging, however no clear guidelines on commissioning of ML-based applications exist. The purpose of this study was therefore to investigate the current use and needs to supp...

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Bibliographic Details
Main Authors: Charlotte L. Brouwer, Anna M. Dinkla, Liesbeth Vandewinckele, Wouter Crijns, Michaël Claessens, Dirk Verellen, Wouter van Elmpt
Format: Article
Language:English
Published: Elsevier 2020-10-01
Series:Physics and Imaging in Radiation Oncology
Subjects:
Artificial intelligence
Machine learning
Radiotherapy
Survey
Commissioning
Quality assurance
Online Access:http://www.sciencedirect.com/science/article/pii/S2405631620300737

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http://www.sciencedirect.com/science/article/pii/S2405631620300737

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