HistoSeg is an Encoder-Decoder DCNN which utilizes the novel Quick Attention Modules and Multi Loss function to generate segmentation masks from histopathological images with greater accuracy. This repo contains the code to Test and Train the HistoSeg
segmentation
image-segmentation
unet
attention-mechanism
glas
semantic-segmentation
focal-loss
self-attention
medical-image-segmentation
histological-images
deeplab-v3-plus
segmentation-models
unet-segmentation
dice-loss
monuseg
monuseg-challenge
histology-images
nuclie-segmentation
histological-image-segmentation
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Updated
Jun 14, 2023 - Python