supported_algorithms
Algorithms supported by CAREamics.
SupportedAlgorithm #
Bases: str, BaseEnum
Algorithms available in CAREamics.
These definitions are the same as the keyword name of the algorithm configurations.
Source code in src/careamics/config/support/supported_algorithms.py
CARE = 'care' class-attribute instance-attribute #
Content-aware image restoration, a supervised algorithm used for a variety of tasks.
DENOISPLIT = 'denoisplit' class-attribute instance-attribute #
An image splitting and denoising approach based on ladder VAE architectures.
HDN = 'hdn' class-attribute instance-attribute #
Hierarchical Denoising Network, an unsupervised denoising algorithm
MICROSPLIT = 'microsplit' class-attribute instance-attribute #
A micro-level image splitting approach based on ladder VAE architectures.
MUSPLIT = 'musplit' class-attribute instance-attribute #
An image splitting approach based on ladder VAE architectures.
N2N = 'n2n' class-attribute instance-attribute #
Noise2Noise algorithm, a self-supervised denoising scheme based on comparing noisy images of the same sample.
N2V = 'n2v' class-attribute instance-attribute #
Noise2Void algorithm, a self-supervised approach based on blind denoising.