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By reducing the amount of required training images and increasing the size of images that can be processed, the new architecture can be used to answer important questions in many research fields.
Bio-FlatScope captures images that no lensed camera can see—showing, for example, dynamic changes in the fluorescent-tagged neurons in running mice.
Researchers from Skoltech, Philips Research, and Goethe University Frankfurt have trained a neural network to identify anomalies in medical images to help physicians in screen through countless scans in search of pathologies.