Clinical evaluation of two AI models for automated breast cancer plan generation

Clinical evaluation of two AI models for automated breast cancer plan generation

Abstract Background Artificial intelligence (AI) shows great potential to streamline the treatment planning process. However, its clinical adoption is slow due to the limited number of clinical evaluation studies and because often, the translation of the predicted dose distribution to a deliverable...

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Bibliographic Details
Main Authors: Esther Kneepkens, Nienke Bakx, Maurice van der Sangen, Jacqueline Theuws, Peter-Paul van der Toorn, Dorien Rijkaart, Jorien van der Leer, Thérèse van Nunen, Els Hagelaar, Hanneke Bluemink, Coen Hurkmans
Format: Article
Language:English
Published: BMC 2022-02-01
Series:Radiation Oncology
Subjects:
Deep learning
U-net
Breast cancer
Dose mimicking
cARF
Autoplanning
Online Access:https://doi.org/10.1186/s13014-022-01993-9

Internet

https://doi.org/10.1186/s13014-022-01993-9

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