Medical Image Analysis


Deep learning integrated as a core component applied to medical image detection, segmentation, registration, and computer-aided analysis.


Used in a wide variety of application areas including Chest X-ray, breast CAD, lung and chest, as well as microscopy and pathology


Solves the problem of limited texture visibility on surfaces  and provides invariance to large color variations and variations in appearance


Our algorithm is capable of detecting arbitrary shaped defects and anomalies on varying and unstructured surfaces.

Hvidovrevej 44

2610 Rødovre






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