Clinical feasibility of Ethos auto-segmentation for adaptive whole-breast cancer treatment

Clinical feasibility of Ethos auto-segmentation for adaptive whole-breast cancer treatment

IntroductionFollowing a preliminary work validating the technological feasibility of an adaptive workflow with Ethos for whole-breast cancer, this study aims to clinically evaluate the automatic segmentation generated by Ethos.Material and methodsTwenty patients initially treated on a TrueBeam accel...

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Bibliographic Details
Main Authors: Jessica Prunaretty, Fatima Mekki, Pierre-Ivan Laurent, Aurelie Morel, Pauline Hinault, Celine Bourgier, David Azria, Pascal Fenoglietto
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Oncology
Subjects:
Ethos
auto-segmentation
artificial intelligence
breast cancer
adaptive treatment
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1507806/full
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