Automatic Segmentation and Identification of Spinous Processes on Sagittal X-Rays Based on Random Forest Classification and Dedicated Contextual Features.
Shahin EbrahimiLaurent GajnyWafa SkalliElsa D. AngeliniPublished in: ISBI (2019)
Keyphrases
- automatic segmentation
- random forest
- x ray
- decision trees
- feature set
- manual segmentation
- brain tissue
- contextual features
- segmentation algorithm
- classification accuracy
- ensemble methods
- ct data
- support vector
- ct scans
- training samples
- ensemble classifier
- feature vectors
- benchmark datasets
- machine learning methods
- text classification
- active shape model
- multi label
- medical imaging
- image classification
- supervised learning
- support vector machine
- knowledge discovery
- computer tomography
- training set