Automated Segmentation of the Clinical Target Volume in the Planning CT for Breast Cancer Using Deep Neural Networks.
Xiaofeng QiJunjie HuLei ZhangSen BaiZhang YiPublished in: IEEE Trans. Cybern. (2022)
Keyphrases
- breast cancer
- automated segmentation
- ct scans
- clinical applications
- computer aided diagnosis
- treatment planning
- bladder cancer
- breast cancer patients
- cancer patients
- mammogram images
- medical images
- ct images
- computed tomography
- ct data
- manual segmentation
- logistic regression
- anatomical structures
- intraoperative
- disease progression
- medical image analysis
- x ray
- segmentation method
- automatic segmentation
- image analysis
- imaging modalities
- ground truth
- magnetic resonance
- radiation therapy
- medical imaging
- statistical shape model
- region of interest
- quantitative evaluation
- pulmonary nodules
- clinical trials
- image processing
- magnetic resonance images
- mr images
- decision trees