Popular GitHub Repositories for Mammography

Using deep learning to discover interpretable representations for mammogram classification and explanation

This code repository is associated with the paper "A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography." Nature Machine Intelligence, 2021. https://www.nature.com/articles/s42256-021-00423-x

Multi-modal deep learning with attention mechanism

DeepHealth Annotate is a web-based tool for viewing and annotating DICOM images. Annotation metadata can be exported in JSON format to be used for a variety of purposes, such as creating training input for deep learning models that use bounding box algorithms.

Chinese Mammography Database (CMMD dataset) Deep Learning Classification Pipeline

Detection of tumors on mammography images

Multilevel thresholding segmentation method

Breast abnormalities classification and diagnosis using TensorFlow developed for Computational Intelligence and Deep Learning course of the MSc AIDE at the University of Pisa.

Official repository of "Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data"

Investigated Meta Pseudo Labels for breast cancer CAD. The pipeline failed because the baseline segmentation model could not learn from the extremely limited labeled data. This research demonstrates that it's success is contingent on first establishing a functional supervised model, a step that was ultimately hampered by severe data scarcity

The aim of the project is to develop a deep learning model that performs the NER process of labeling words into specific categories in mammography radiology reports.