Automatic segmentation of magnetic resonance images for high‐dose‐rate cervical cancer brachytherapy using deep learning

Abstract

The 2.5D DL models outperformed their respective 2D models for the automatic contouring of targets and OARs in MR image-based HDR brachytherapy for cervical cancer. The InceptionResNetv2 model performed slightly better than ResNet50.