To analyze the medical image data such as dicom, nifti and multi-layered images, the pre-processing procedure is a lot more complicated compared to the general.
Sometimes, machine learning is used to capture the region of interests in pre-processing phase.
EasyML is handling everything even though users have no idea with machine learning or computer language.
2. Easy user interface for medical staffs
According to the feedbacks from the real users, less click and less page shift are more preferred than detailed controls.
By adopting a simple point and click interface, it makes medical staffs to use a lot easier.
EasyML is such a playground for the medical staffs to play with medical data!
3. De-identification of medical imaging data
If user upload some MR brain images, it fully anonymizes if the images contain facial features.
It masks out the face in an MRI making it impossible to “recognize” the subject so that protects the privacy of patients.
This procedure is operating locally, so only fully anonymized medical data will be moved to external space such as cloud and other server systems to be analyzed.