Disease classifier

disease-classifier

A disease classifier based on iPAC images.


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    A napari plugin for disease classification based on iPAC images.

    Installation

    You can install disease-classifier via pip:

    pip install disease-classifier

    To install latest development version :

    pip install git+https://github.com/zcqwh/disease-classifier.git

    Introduction

    Load data (.rtdc or .bin)

    • Drag and drop the data in .rtdc or .bin into the files table.
    • Click eye button to preview images.

    Choose model and classify

    • Choose the model folder including CNN and RF/PLDA.
    • Check the data.
    • Click classify.

    Preview classification results

    • Click the eye button to preview the result.
    • Click the header to show all.

    Save results

    • Click “Add classification to .rtdc file” button to save results.

    Contributing

    Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.

    License

    Distributed under the terms of the BSD-3 license, "disease-classifier" is free and open source software

    Issues

    If you encounter any problems, please file an issue along with a detailed description.


    This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.

    Version:

    • 0.0.1

    Release date:

    • 07 June 2022

    First released:

    • 07 June 2022

    License:

    • BSD-3-Clause

    Supported data:

    • Information not submitted

    Plugin type:

    GitHub activity:

    • Stars: 1
    • Forks: 0
    • Issues + PRs: 0

    Python versions supported:

    Operating system:

    Requirements:

    • numpy
    • magicgui
    • qtpy
    • matplotlib
    • h5py (>=3.6.0)
    • napari (>=0.4.15)
    • numpy (>=1.22.4)
    • opencv-contrib-python-headless (>=4.5.5.64)
    • pytranskit (>=0.2.3)
    • statsmodels (>=0.13.2)

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