Automatic co-segmentation of lung tumor based on random forest in PET-CT images.
Xueqing JiangDehui XiangBin ZhangFei ShiXinjian ChenPublished in: Medical Imaging: Image Processing (2016)
Keyphrases
- random forest
- ct images
- pet ct
- treatment planning
- pet images
- medical images
- lymph nodes
- computed tomography
- lung parenchyma
- medical imaging
- lung cancer
- positron emission tomography
- ct scans
- lung nodules
- cancer diagnosis
- decision trees
- cancer classification
- computer tomography
- imaging modalities
- feature set
- fully automatic
- fracture detection
- radiation therapy
- region of interest
- accurate segmentation
- ensemble methods
- contrast enhanced
- active shape model
- multi label
- automated segmentation
- fold cross validation
- magnetic resonance
- pulmonary nodules
- anatomical structures
- computer aided
- base classifiers
- clinical applications
- feature selection
- image reconstruction
- computer aided diagnosis
- medical image analysis
- prediction accuracy
- image classification