architecture

tiatoolbox . models . architecture

Define a set of models to be used within tiatoolbox.

Functions

fetch_pretrained_weights	Get the pretrained model information from yml file.
get_pretrained_model	Load a predefined PyTorch model with the appropriate pretrained weights.

tiatoolbox.models.architecture.hovernet	Define HoVerNet architecture.
tiatoolbox.models.architecture.hovernetplus	Define HoVerNetPlus architecture.
tiatoolbox.models.architecture.idars	Define CNNs as used in IDaRS for prediction of molecular pathways and mutations.
tiatoolbox.models.architecture.mapde	Define MapDe architecture.
tiatoolbox.models.architecture.micronet	Define MicroNet architecture.
tiatoolbox.models.architecture.nuclick	Define original NuClick architecture.
tiatoolbox.models.architecture.sccnn	Define SCCNN architecture.
tiatoolbox.models.architecture.unet	Define a set of UNet variants to be used within tiatoolbox.
tiatoolbox.models.architecture.utils	Define utility layers and operators for models in tiatoolbox.
tiatoolbox.models.architecture.vanilla	Define vanilla CNNs with torch backbones, mainly for patch classification.