Application of deep learning methods for the optimization of organs at risk (OARs) delineation in breast cancer radiotherapy treatment planning

• Κύριος συγγραφέας: Μακρή-Λεβίδου, Ελένη
• Άλλοι συγγραφείς: Makri-Levidou, Eleni
• Γλώσσα: Greek
• Έκδοση: 2022
• Θέματα: Neural networks; Radiotherapy; Treatment planning; Νευρωνικά δίκτυα; Ακτινοθεραπεία; Σχεδιασμός πλάνου

During breast radiotherapy treatment planning, contouring the healthy organs surrounding breast has a significant role. Unfortunately, this process, of contouring the organs at risks (OARs), can be time consuming and in many cases difficult to shape them correctly. So, this thesis is inspired to solve this problem using a CNN to eliminate contouring time.