A unified solution for mammogram image analysis and interpretation
Project description
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.
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