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.