At present, the problem of quick detection of lung lesions caused by the coronavirus infection on CT scans is still relevant.
The application of the artificial intelligence in healthcare is an actively developing area with a wide scope: from labeling pathology on medical scans to predicting diseases based on patient complaints.
My friends and I created a Machine Learning algorithm, which would use computed tomography (CT) scans (in PNG format) to detect and segment lung lesions caused by the corona virus infection or by other infections. The model's interface was developed as a web-based interface where test files can be uploaded.
This will not only reduce the workload on radiologist, but it will also reduce the likelihood of a human error.
This video walks you through our development process and website tutorial