ittichoce / awesome-breast-imaging-resources

Relevant papers on the research in Breast imaging

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
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

Contributing

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