Effect of the output activation function on the probabilities and errors in medical image segmentation.
Lars NieradzikGerik ScheuermannDorothee SaurChristina GillmannPublished in: CoRR (2021)
Keyphrases
- medical image segmentation
- activation function
- sigmoid function
- medical images
- hidden nodes
- neural network
- artificial neural networks
- hidden layer
- feed forward
- statistical shape model
- back propagation
- curve evolution
- multilayer perceptron
- medical image analysis
- learning rate
- level set method
- neural nets
- medical imaging
- basis functions
- image segmentation
- radial basis function
- latent variables
- training phase
- multi layer perceptron
- particle swarm optimization
- genetic algorithm