Optimization of a Shape Metric Based on Information Theory Applied to Segmentation Fusion and Evaluation in Multimodal MRI for DIPG Tumor Analysis.
Stéphanie Jehan-BessonRégis ClouardNathalie BoddaertJacques GrillFrédérique FrouinPublished in: GSI (2021)
Keyphrases
- information theory
- information theoretic
- medical images
- brain tumor segmentation
- jensen shannon divergence
- brain tumors
- medical imaging
- shape prior
- tumor segmentation
- statistical learning
- magnetic resonance imaging
- image analysis
- shape model
- image segmentation
- segmentation algorithm
- kullback leibler divergence
- distance measure
- brain scans
- deformable models
- level set
- statistical mechanics
- mutual information
- shannon entropy
- optical flow