Expansion Rate Parametrization and K-Fold Based Inference with U-Net Neural Networks for Multiclass Medical Image Segmentation.
Roman StatkevychYuri G. GordienkoSergii G. StirenkoPublished in: ICAISC (1) (2023)
Keyphrases
- multi class
- medical image segmentation
- neural network
- medical images
- medical image analysis
- pattern recognition
- cost sensitive
- support vector machine
- curve evolution
- binary classification
- statistical shape model
- multiclass problems
- pairwise
- binary classifiers
- multiclass classification
- medical imaging
- error correcting output codes
- image segmentation
- level set method
- x ray
- base classifiers
- multi task
- multiclass learning
- multiple classes
- bayesian networks
- learning algorithm