Skip to content
#

nuclie-segmentation

Star

Here are 2 public repositories matching this topic...

Language: All
Filter by language
All 2 Jupyter Notebook 1 Python 1

saadwazir / HistoSeg

Star 24

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 Apr 11, 2025
  • Python

chaman-yadav / Identification-and-Segmentation-of-Nuclei-in-Cells

Star 0

This includes a complete pipeline for nuclei segmentation in microscopy images using a U-Net decoder with an EfficientNet-B3 encoder (pretrained on ImageNet). We include dataset description, RLE ground-truth handling, preprocessing and augmentation, model architecture, loss functions and equations, training and inference , baseline descriptions.

deep-learning imagenet unet-image-segmentation efficientnetb3 nuclie-segmentation
  • Updated Dec 3, 2025
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the nuclie-segmentation 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 nuclie-segmentation topic, visit your repo's landing page and select "manage topics."

Learn more