Automated Segmentation of After-Loaded Metal Source Applicators in Cervical Cancer Treatment Using U-Net: Enhancing Efficiency and Accuracy in Treatment Planning.
Lingyun QiuRong WuXinpeng LinLifeng QiuKainan ShaoWenming ZhanQiang LiJieni DingYucheng LiWeijun ChenPublished in: IEEE Access (2024)
Keyphrases
- treatment planning
- automated segmentation
- radiation therapy
- ct scans
- clinical applications
- manual segmentation
- segmentation method
- computer aided
- segmentation accuracy
- ct images
- magnetic resonance images
- fully automated
- automatic segmentation
- image guided
- mr images
- x ray
- image analysis
- random forest
- imaging modalities
- statistical shape model
- magnetic resonance
- ground truth