Now, researchers from the Broad Institute's Imaging Platform, Swansea University's College of Engineering, and fellow international collaborators have found a new way to detect these cellular subpopulations, by applying machine learning to the hidden information in images of unlabeled cells generated from image flow cytometry. (broadinstitute.org)
In this beautifully rendered abecedary, large uppercase letters are surrounded by unlabeled images representing objects that begin with these letters. (booklistonline.com)
Once the network learns to perform from training data, it can then be tested against unlabeled data. (sciencedaily.com)