Deep learning based automatic segmentation of organs-at-risk for 0.35 T MRgRT of lung tumors

Abstract Background and purpose Magnetic resonance imaging guided radiotherapy (MRgRT) offers treatment plan adaptation to the anatomy of the day. In the current MRgRT workflow, this requires the time consuming and repetitive task of manual delineation of organs-at-risk (OARs), which is also prone t...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:	Radiation Oncology
المؤلفون الرئيسيون:	Marvin F. Ribeiro, Sebastian Marschner, Maria Kawula, Moritz Rabe, Stefanie Corradini, Claus Belka, Marco Riboldi, Guillaume Landry, Christopher Kurz
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	BMC 2023-08-01
الموضوعات:	Deep learning Auto-segmentation MR-Linac MRI-guidance Thorax
الوصول للمادة أونلاين:	https://doi.org/10.1186/s13014-023-02330-4

مواد مشابهة

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