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Awesome resources related to Breast-imaging research

In this repo, we maintain a comprehensive list of papers, models, code related to breast imaging (mostly mammography).

Datasets

Dataset Link Comments
RSNA Dataset Kaggle competition to predict breast cancer
VinDr Dataset [Paper], Annotation of attributes e.g, mass, calcification etc
The Chinese Mammography Database (CMMD) Dataset
University of South Florida Digital Mammography Home Page (DDSM) Dataset
Embed Dataset [Code], [Paper]

Models

Model Public Venue Code
MMBCD: Multimodal Breast Cancer Detection from Mammograms with Clinical History MICCAI 2024 [Github]
Follow the Radiologist: Clinically Relevant Multi-View Cues for Breast Cancer Detection from Mammograms MICCAI 2024 [Github]
D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms MICCAI 2024 [Github]
Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography MICCAI 2024 [Github]
Knowledge-grounded Adaptation Strategy for Vision-language Models: Building Unique Case-set for Screening Mammograms for Residents Training MICCAI 2024
Toward robust mammography-based models for breast cancer risk Science Translation Medicine [Github]
A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction RSNA Radiology [Github]
A Deep Learning Model to Triage Screening Mammograms: A Simulation Study RSNA Radiology [Github]
Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation RSNA Radiology [Github]
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization Medical Image Analysis [Github]
DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning MICCAI, 2023
M&M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse Detector MICCAI, 2023
Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classificatio MICCAI, 2022
Intra-class Contrastive Learning Improves Computer Aided Diagnosis of Breast Cancer in Mammography MICCAI, 2022
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation MICCAI, 2022
Transformer Based Multi-View Network for Mammographic Image Classification MICCAI, 2022
BI-RADS Classification of Calcification on Mammograms MICCAI, 2021
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning MICCAI, 2021
Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms MICCAI, 2021
Supervised Contrastive Pre-Training for Mammographic Triage Screening Models MICCAI, 2021
Synthesis of Contrast-enhanced Spectral Mammograms from Low-energy Mammograms Using cGAN-Based Synthesis Network MICCAI, 2021
Towards Robust Dual-view Transformation via Densifying Sparse Supervision for Mammography Lesion Matching MICCAI, 2021
Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms CVPR, 2021
Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection ECCV, 2022
Cross-view Correspondence Reasoning based on Bipartite Graph Convolutional Network for Mammogram Mass Detection CVPR, 2020
Unsupervised feature correlation network for localizing breast cancer using history of mammograms NeurIPS, 2022 (w)
Dual view deep learning for enhanced breast cancer screening using mammography Nature Scientific Reports

Object detction for breast imaging

  • [Owner avatar MIAS-mammography-obj-detection](MIAS Database)

Contributing

Have anything in mind that you think is awesome and would fit in this list? Feel free to send a pull request.