A generative model for segmentation of tumor and organs-at-risk for radiation therapy planning of glioblastoma patients.
Mikael AgnIan LawPer Munck af RosenschöldKoen Van LeemputPublished in: Medical Imaging: Image Processing (2016)
Keyphrases
- generative model
- therapy planning
- radiation doses
- patient specific
- radiotherapy treatment
- medical images
- low grade gliomas
- computed tomography
- brain tumors
- medical imaging
- probabilistic model
- lung cancer patients
- image segmentation
- medical domain
- bayesian framework
- treatment planning
- magnetic resonance imaging
- pet ct
- treatment plan
- radiation dose
- em algorithm
- decision support
- prostate cancer
- semi supervised
- topic models
- decision making
- expectation maximization
- x ray
- anatomical structures
- prior knowledge
- multiscale
- ct images
- cancer patients
- graphical models
- ct scans
- data mining