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

Is there an algorithm that identifies whether the image is a CT / MRI / X-ray? #101

Open
GuilhermeCunha opened this issue Apr 28, 2020 · 1 comment
Labels
question Further information is requested

Comments

@GuilhermeCunha
Copy link

GuilhermeCunha commented Apr 28, 2020

With obtaining CT / MRI / X-ray Datasets generated from several different places, we have faced a problem, garbage mixed with good images. I would like an algorithm / network that would help us to identify if an image is a CT / MRI / X-ray or not. Could anyone help?

@GuilhermeCunha GuilhermeCunha changed the title Is there an algorithm that identifies whether the image is a CT / X-ray? Is there an algorithm that identifies whether the image is a CT / MRI / X-ray? Apr 28, 2020
@ieee8023 ieee8023 added the question Further information is requested label Apr 28, 2020
@ieee8023
Copy link
Owner

It should be a simple model to build. Just resize the images to 10x10 and train a logistic regression on it. Also, just look at the resolution of the image. CT slices will be 512x512 most of the time.

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

No branches or pull requests

2 participants