Artificial intelligence contouring in radiotherapy for organs-at-risk and lymph node areas

Artificial intelligence contouring in radiotherapy for organs-at-risk and lymph node areas

Abstract Introduction The delineation of organs-at-risk and lymph node areas is a crucial step in radiotherapy, but it is time-consuming and associated with substantial user-dependent variability in contouring. Artificial intelligence (AI) appears to be the solution to facilitate and standardize thi...

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Main Authors: Céline Meyer, Sandrine Huger, Marie Bruand, Thomas Leroy, Jérémy Palisson, Paul Rétif, Thomas Sarrade, Anais Barateau, Sophie Renard, Maria Jolnerovski, Nicolas Demogeot, Johann Marcel, Nicolas Martz, Anaïs Stefani, Selima Sellami, Juliette Jacques, Emma Agnoux, William Gehin, Ida Trampetti, Agathe Margulies, Constance Golfier, Yassir Khattabi, Olivier Cravéreau, Alizée Renan, Jean-François Py, Jean-Christophe Faivre
Format: Article
Language:English
Published: BMC 2024-11-01
Series:Radiation Oncology
Online Access:https://doi.org/10.1186/s13014-024-02554-y
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https://doi.org/10.1186/s13014-024-02554-y

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