Clinical adoption of deep learning target auto-segmentation for radiation therapy: challenges, clinical risks, and mitigation strategies

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Original language	English
Article number	ubae015
Number of pages	14
Journal	BJR\|Artificial Intelligence
Volume	1
Issue number	1
DOIs	https://doi.org/10.1093/bjrai/ubae015
Publication status	Published - Jan-2024

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title = "Clinical adoption of deep learning target auto-segmentation for radiation therapy: challenges, clinical risks, and mitigation strategies",

author = "Biase, {Alessia De} and Sijtsema, {Nanna Maria} and Tomas Janssen and Coen Hurkmans and Charlotte Brouwer and {van Ooijen}, Peter",

year = "2024",

month = jan,

doi = "10.1093/bjrai/ubae015",

language = "English",

volume = "1",

journal = "BJR|Artificial Intelligence",

issn = "2976-8705",

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AU - Biase, Alessia De

AU - Sijtsema, Nanna Maria

AU - Janssen, Tomas

AU - Hurkmans, Coen

AU - Brouwer, Charlotte

AU - van Ooijen, Peter

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DO - 10.1093/bjrai/ubae015

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