BT-Unet: A self-supervised learning framework for biomedical image segmentation using barlow twins with U-net models.
Narinder Singh PunnSonali AgarwalPublished in: Mach. Learn. (2022)
Keyphrases
- image segmentation
- learning scheme
- latent variable models
- learning algorithm
- learning systems
- modeling framework
- learning process
- probabilistic model
- online learning
- prior knowledge
- accurate models
- dynamic bayesian networks
- hidden variables
- learning tasks
- learning frameworks
- neural network
- machine learning algorithms
- model selection
- supervised learning
- reinforcement learning
- learning models
- parameter estimation
- main contribution
- active contours
- learning mechanism
- unsupervised learning