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Breast Cancer (mander.xyz)

submitted 3 months ago by [email protected] to c/[email protected]

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[+] [email protected] 210 points 3 months ago (26 children)

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[–] [email protected] 127 points 3 months ago* (last edited 3 months ago) (22 children)

Using AI for anomaly detection is nothing new though. Haven't read any article about this specific 'discovery' but usually this uses a completely different technique than the AI that comes to mind when people think of AI these days.

[–] [email protected] 11 points 3 months ago (4 children)

Haven't read any article about this specific 'discovery' but usually this uses a completely different technique than the AI that comes to mind when people think of AI these days.

From the conclusion of the actual paper:

Deep learning models that use full-field mammograms yield substantially improved risk discrimination compared with the Tyrer-Cuzick (version 8) model.

If I read this paper correctly, the novelty is in the model, which is a deep learning model that works on mammogram images + traditional risk factors.

[–] [email protected] 3 points 3 months ago

I skimmed the paper. As you said, they made a ML model that takes images and traditional risk factors (TCv8).