Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Medical MVP: Choose a dataset for the demo #33

Open
bcebere opened this issue Jul 21, 2020 · 2 comments
Open

Medical MVP: Choose a dataset for the demo #33

bcebere opened this issue Jul 21, 2020 · 2 comments
Labels

Comments

@bcebere
Copy link
Member

bcebere commented Jul 21, 2020

We have to choose a dataset that can help us demo the following:

  • MONAI support/any other established medical framework.
  • Usable from a mobile device, for demonstrating the ease of use.
  • Relevant information in the interpretability benchmarks, for overcoming the medical skepticism to AI.
@tudorcebere
Copy link
Collaborator

I'll look into this.

@andreimano
Copy link
Collaborator

andreimano commented Jul 24, 2020

I found a VQA dataset, it's rather small (5k samples), but we should be able to do some kind of transfer learning on it: https://www.imageclef.org/2020/medical/vqa

EDIT: Also, an overview on medical VQA - https://lhncbc.nlm.nih.gov/system/files/pub9992.pdf

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Projects
None yet
Development

No branches or pull requests

3 participants