A persistent homology-based topological loss function for multi-class CNN segmentation of cardiac MRI.
Nick ByrneJames R. CloughGiovanni MontanaAndrew P. KingPublished in: CoRR (2020)
Keyphrases
- multi class
- loss function
- cardiac mri
- persistent homology
- pairwise
- topological features
- morse theory
- physiological parameters
- boosting algorithms
- support vector
- computational geometry
- left ventricle
- binary classification
- support vector machine
- multi class classification
- object detection
- regularization term
- multi class boosting
- cost sensitive
- magnetic resonance images
- left ventricular
- feature selection
- binary classifiers
- fully automatic
- segmentation algorithm
- level set
- image segmentation
- base classifiers
- region growing
- medical images
- supervised learning
- computer vision