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Cell Detection with PyTorch.

Project description

Cell Detection

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⭐ Showcase

Nuclei of U2OS cells in a chemical screen

bbbc039 (CC0)

P. vivax (malaria) infected human blood

bbbc041 (CC BY-NC-SA 3.0)

🛠 Install

Make sure you have PyTorch installed.


pip install -U celldetection


pip install git+

💡 How to train

Here you can see some examples of how to train a detection model. The examples already include toy data, so you can get started right away.

🔬 Models

import celldetection as cd

Contour Proposal Networks
Feature Pyramid Networks
Residual Networks
Mobile Networks

📝 Citing

    title = {Contour proposal networks for biomedical instance segmentation},
    journal = {Medical Image Analysis},
    volume = {77},
    pages = {102371},
    year = {2022},
    issn = {1361-8415},
    doi = {},
    url = {},
    author = {Eric Upschulte and Stefan Harmeling and Katrin Amunts and Timo Dickscheid},
    keywords = {Cell detection, Cell segmentation, Object detection, CPN},

🔗 Links

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