Using Deep Learning for Anomaly Detection in Radiological Images

By Sophie Curtis, Marketing Director at RE•WORK March 28, 2016 Deep learning is usually linked to big data, but in a medical context radiologists often need help in diagnosing rare conditions that have limited historical data. Can deep learning prove a useful tool in such cases?Ioannis Katramados founded COSMONiO Health Lab in 2015 with a vision to develop intelligent medical technologies based on deep learning. COSMONiO’s focus is on designing NOUS, an embedded deep neural network platform that aims to make high-accuracy predictions using significantly smaller training datasets. To achieve this the lab collaborates closely with UMC Groningen, one of the leading university hospitals in the Netherlands, where their research is currently focussing on performing automated anomaly detection on thoracic X-rays. I caught up with him ahead of his presentation on…

Link to Full Article: Using Deep Learning for Anomaly Detection in Radiological Images

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