Pseudo-CT generation by conditional inference random forest for MRI-based radiotherapy treatment planning.
Axel LargentJean-Claude NunesHervé Saint-JalmesAntoine SimonNicolas PerichonAnais BarateauChloe HerveCaroline LafondPeter B. GreerJason A. DowlingRenaud de CrevoisierOscar AcostaPublished in: EUSIPCO (2017)
Keyphrases
- treatment planning
- random forest
- ct images
- medical images
- computer aided
- imaging modalities
- clinical applications
- medical imaging
- image guided
- computed tomography
- magnetic resonance imaging
- ct scans
- decision trees
- automated segmentation
- feature set
- radiation therapy
- mr images
- ensemble methods
- magnetic resonance images
- medical image analysis
- accurate segmentation
- manual segmentation
- medical data
- anatomical structures
- cancer classification
- pet ct
- high resolution
- magnetic resonance
- region of interest
- base classifiers
- multi label
- active shape model
- image analysis
- x ray
- data mining
- treatment plan
- support vector
- pairwise
- classification accuracy
- multi class
- segmentation method
- image reconstruction
- mri data
- computer aided diagnosis
- machine learning methods
- computer assisted