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?
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.
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?