gholste/breast_mri_fusion

[CVAMD 2021] "End-to-End Learning of Fused Image and Non-Image Feature for Improved Breast Cancer Classification from MRI"

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Emerging

This project helps medical researchers and radiologists by developing a method to predict breast cancer status from MRI. It takes both breast MRI images and associated non-image data, like mammographic breast density, to produce a more accurate breast cancer prediction. The end-user would be a medical researcher or a radiologist looking to improve diagnostic accuracy using multimodal data.

No commits in the last 6 months.

Use this if you are a medical researcher or clinician working with breast MRI and associated patient data, and you want to improve breast cancer prediction accuracy by combining these different data types.

Not ideal if your dataset does not include both image and non-image patient data, or if you are not focused on binary classification tasks.

breast-cancer-prediction radiology-diagnosis medical-imaging-analysis multimodal-data-fusion clinical-decision-support
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

43

Forks

9

Language

Python

License

MIT

Last pushed

Jul 27, 2023

Commits (30d)

0

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