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Machines and Magic

*Update, Shayan Siddiqui's published research can be found here.

Machines and magic.

After talking with many of you, I'm learning that a core problem with segmentation algorithms is that a lack of annotations renders low significance at the output stage - too much supervision required.

One of the members of this group will soon be publishing medical research that demonstrates the opposite: a DI score of 70%+ using only one or two samples (!) to classify a segment. He said the result was surprising, as if it was magic.

With his permission, I'll share here when he's published.

(Update: Published)

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