https://github.com/andreped/nuclei-vision-experiments
https://github.com/andreped/nuclei-vision-experiments
Last synced: 7 months ago
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- Host: GitHub
- URL: https://github.com/andreped/nuclei-vision-experiments
- Owner: andreped
- License: mit
- Created: 2024-03-31T11:47:11.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-03-31T12:20:18.000Z (over 2 years ago)
- Last Synced: 2025-02-17T17:52:23.333Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 11.9 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# nuclei-vision-experiments
This is an old project from 2019, which I only uploaded to store it somewhere.
This repository contains experiments on the PanNuke dataset to perform various
computer vision tasks on nuclei in histopathology images.
The tested methods were:
* U-Net for binary and semantic segmentation
* YOLOv1 and YOLOv3 for object detection
* Mask R-CNN for instance segmentation
* Watershed-based algorithm for semantic segmentation
* Morphology-based algorithm for separating semantic segmentation of nuclei into separate instances
* Multi-head U-Net to perform simultaneous image classification and semantic segmentation
# License
This project has MIT license.