Skip to content
#

glas

Star

Here are 5 public repositories matching this topic...

Language: All
Filter by language
All 5 D 2 F# 1 Python 1 TypeScript 1

saadwazir / HistoSeg

Star 22

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

Improve this page

Add a description, image, and links to the glas topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the glas topic, visit your repo's landing page and select "manage topics."

Learn more