Deep Learning Contribution at ESANN

Our second Deep Learning contribution for this year has been presented this month at ESANN. This project is with cooperation with Braunschweig Klinikum. It aims to provide doctors with real-time deep learning system for early cancer detection and segmentation.
Our break through results demonstrate high sample-efficiently, fast prediction, high accuracy, and applicability dealing with very-limited ground of truth sparse data and very challenging clinical conditions.