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nuclie-segmentation

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saadwazir / HistoSeg

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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
  • Updated Oct 26, 2024
  • Python

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