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Biomedical Image Segmentation Models (BISM)

Project description

bism - Biomedical Image Segmentation Models

This is a collection of generic PyTorch model constructors usefull for biomedical segmentation tasks. Something akin to the timm package for 2D image tasks. When at all possible, each model will offer a 2D or 3D implementation, however we will not provide pre-trained model files.

Current Models

Model 2D 3D Scriptable
UNet
UNeXT
Recurrent UNet
Residual UNet
Unet++
CPnet

Current Generic Blocks

BLOCK NAME 2D 3D
UNeXT Block
ConcatConv
Recurrent UNet BLock
Residual UNet BLock
DropPath
LayerNorm
UpSample
ViT Block

Segmentation Implementation

APPROACH 2D 3D
Cellpose
Affinities
Local Shape Desc.

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