Comparative study of supervised and unsupervised classification methods: Application to automatic MRI glioma brain tumors segmentation.
Aymen BougachaJihene BoughariouMohamed Ben SlimaAhmed Ben HamidaKhaireddine Ben MahfoudhOmar KammounChokri MhiriPublished in: ATSIP (2018)
Keyphrases
- brain tumors
- comparative study
- magnetic resonance images
- unsupervised classification
- tumor segmentation
- mr images
- low grade gliomas
- supervised classification
- magnetic resonance
- medical images
- medical imaging
- computer vision
- medical image analysis
- training data
- brain tissue
- high resolution
- feature selection
- brain tumor segmentation
- image segmentation
- mri scans
- brain mr images
- image analysis
- model selection
- dimensionality reduction
- magnetic resonance imaging
- expectation maximization
- segmentation algorithm