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Updated: Feb 14, 2026

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
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DART-Net:一种新的深度学习框架,用于精确的放射治疗规划,使用自动化的多器官细分和RTSTRUCT生成

Omar Hamzaoui1, Yassine Oulhouq1,2, Mohammed Rezzoug1

  • 1Department of Physics, Laboratory of Theoretical Physics, Particles, Modeling, and Energies, Faculty of Sciences, Mohammed First University, Oujda, Morocco.

Journal of medical physics
|February 13, 2026
PubMed
概括

一个新的AI模型,DART-Net,自动化骨盆器官细分用于放射治疗规划,显著提高精度和减少轮时间. 这项创新提高了辐射瘤学的临床工作流程和治疗精度.

关键词:
深度学习是一种深度学习.在 RTSTRUCT 的生成过程中.骨盆器官细分 骨盆器官细分辐射疗法 辐射疗法

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