Deep learning‐based auto‐contouring for organs at risk in three‐dimensional image‐guided brachytherapy for cervical cancer and endometrial cancer

Key Points

• This research aims to develop a deep learning model for auto-contouring organs at risk in brachytherapy for cervical and endometrial cancer.
• Developed a deep learning model for image analysis in brachytherapy applications.
• Tested the model on cases involving interstitial needles used in treatment planning.
• The deep learning model showed promising accuracy in auto-contouring.
• It has the potential to enhance the efficiency of the treatment planning workflow.