Welcome to MammoPy’s documentation!

Contents:

• MammoPy
  • mammopy package

Indices and tables

• Index

• Module Index

• Search Page

MammoPy

A Comprehensive Deep Learning Library for Mammogram Assessment

# Useful Links [Documentation] | [Paper] | [Notebook examples] | [Web applications]

# Introduction Welcome to ``MammoPy`` ! 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:

• Standard mammogram image pre-processing (e.g., normalization, bounding box cropping, and DICOM to jpeg conversion)

• Mammogram assessment pipelines (e.g., breast area segmentation, dense tissue segmentation, and percentage density estimation)

• Modeling deep learning architectures for various downstream tasks (e.g., micro-calcification and mass detection)

• Feature attribution-based interpretability techniques (e.g., GradCAM, GradCAM++, and LRP)

• 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.