The quality and efficiency of today’s medical care has been greatly enhanced by numerous emerging imaging techniques and novel medical diagnostic approaches. Medical doctors, however, struggle to process the ever-increasing amount of data coming from modern sensors because visual inspection is very time consuming or even impossible.
Automatic decision-making systems, therefore, have become increasingly important. They facilitate analysis by highlighting potentially interesting anatomical structures or detecting changes of a monitored condition. The new generation of medical scanners can, for example, detect potentially cancerous tissues.
Development of robust diagnostic solutions is currently a time consuming and thus expensive process. Moreover, advanced statistical tools are required. With perClass, researchers bring a new generation of accurate medical diagnostic machines to the market faster than ever before.