Here we have made available several machine learning algorithms for medical imaging. If you are granted access to an algorithm you will be able to try the algorithm out by uploading your own anonymised medical imaging data. Several web-based workstations are available for interacting with the results. Please contact us if you would like to make your own algorithm available here.
This website reproduces the results obtained by the segmentation algorithm presented in the paper entitled "Fully automatic volume measurement of the spleen in CT using deep learning" and allows users to test this algorithm on new cases. The paper is currently under review. Every user is allowed to submit up to 5 thorax-abdomen CT scans per day. Limitations: This algorithm was trained using the following data settings: Contrast-enhanced thorax-abdomen CT scans, slice thickness up of 3mm or less. Different settings than the mentioned above might affect the performance of the algorithm.