Machines and Magic

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

https://arxiv.org/abs/1902.01314


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)

2 views0 comments

Recent Posts

See All

Machine learning will leave no stone unturned

  • LinkedIn

View Privacy Policy  © Machine Commons 2018