gholste/breast_mri_fusion
[CVAMD 2021] "End-to-End Learning of Fused Image and Non-Image Feature for Improved Breast Cancer Classification from MRI"
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.
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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.
Stars
43
Forks
9
Language
Python
License
MIT
Category
Last pushed
Jul 27, 2023
Commits (30d)
0
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