CedricCaruzzo/pannuke-segmentation
An open-source UNet-based pipeline for nuclei segmentation in histopathology images using the PanNuke dataset. It features an interactive web app for easy data visualization and handling, making AI tools accessible even for non-experts. This project provides a foundation for training and exploring histopathology data.
This tool helps pathologists, histotechnologists, and researchers efficiently analyze histopathology images. You input raw tissue slide images, and it outputs segmented images highlighting different types of cell nuclei. It allows you to visualize and experiment with AI-powered segmentation, making advanced image analysis accessible even without deep technical expertise.
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Use this if you need to accurately identify and visualize cell nuclei in cancer tissue slides for research, diagnosis, or educational purposes.
Not ideal if your primary goal is to train complex deep learning models from scratch without needing the interactive visualization or predefined dataset.
Stars
10
Forks
5
Language
Python
License
MIT
Category
Last pushed
Jan 09, 2025
Commits (30d)
0
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