MammoPy
A Comprehensive Deep Learning Library for Mammogram Assessment
Useful Links
[Documentation] | [Paper] | [Notebook examples] | [Web applications]
Introduction
Welcome to MammoPy Repository! MammoPy is a python-based library designed to facilitate the creation of mammogram image analysis pipelines . The library includes plug-and-play modules to perform:
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Standard mammogram image pre-processing (e.g., normalization, bounding box cropping, and DICOM to jpeg conversion)
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Mammogram assessment pipelines (e.g., breast area segmentation, dense tissue segmentation, and percentage density estimation)
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Modeling deep learning architectures for various downstream tasks (e.g., micro-calcification and mass detection)
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Feature attribution-based interpretability techniques (e.g., GradCAM, GradCAM++, and LRP)
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Visualization
All the functionalities are grouped under a user-friendly API.
If you encounter any issue or have questions regarding the library, feel free to open a GitHub issue. We'll do our best to address it.
1 maintainer
Metadata
1 maintainer
Release files for mammopy 0.0.18
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| mammopy-0.0.18.tar.gz | 85.7 kB | Without provenance | Details for mammopy-0.0.18.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| mammopy-0.0.18-py3-none-any.whl | Python 3 | none | any | Details for mammopy-0.0.18-py3-none-any.whl |
Total release size: 126.2 kB
Release files / mammopy-0.0.18.tar.gz
| Download URL | mammopy-0.0.18.tar.gz |
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| Size | 85.7 kB |
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Release files / mammopy-0.0.18-py3-none-any.whl
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| Size | 40.5 kB |
| Tags | Python 3 |
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