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.

grandqc	GrandQC Tissue Detection Model Architecture [1].
hovernet	Define HoVerNet architecture.
hovernetplus	Define HoVerNetPlus architecture.
idars	Define CNNs as used in IDaRS for prediction of molecular pathways and mutations.
kongnet	KongNet Nuclei Detection Model Architecture [1].
mapde	Define MapDe architecture.
micronet	Define MicroNet architecture.
nuclick	Define original NuClick architecture.
sccnn	Define SCCNN architecture.
timm_efficientnet	EfficientNet Encoder Implementation using timm.
unet	Define a set of UNet variants to be used within tiatoolbox.
utils	Define utility layers and operators for models in tiatoolbox.
vanilla	Define vanilla CNNs with torch backbones, mainly for patch classification.