MedAI Session 25: Training medical image segmentation models with less labeled data | Sarah Hooper

[@stanfordmedai]

Update from Sarah: "Following up on this talk, we have additional details, the paper, and code available to try out this method on Github: github.com/sarahmhooper/medallion. Hope it is useful!" 🙂

[@sahil-vz8or]

The explanation is really really nice. I hope you'll post videos of your future talks on youtube!!!

[@vincentnaayem]

Great job, straightforward and insightful thanks

[@rishiraj8225]

Nice work Sarah.. Kudos to the team for putting it on UA-cam

[@TheTacticalDood]

Very interesting. Good job!

[@MrRynRules]

Well done on this! Would love an update on this results. Is there a place where this paper was posted?

[@rogeliocuervo8154]

Hi, are you trying to use this segmentation tchinique or others with MRI or TC videos?

[@Troll3rHD]

This looks great, is there a paper on this?

[@stanfordmedai]

Response from Sarah: "Hopefully soon! Still in the review cycle, we will try to update when it's published. Thanks for the nice comment."

[@vincentnaayem]

Is there a paper on this??

[@stanfordmedai]

"Hopefully soon! Still in the review cycle, we will try to update when it's published. Thanks for the nice comment."