Speaker
Dr
Ghassan Hamarneh
Description
Medical imaging has revolutionized medicine. Now medical imaging itself is witnessing a deep learning revolution. Clinically-relevant medical image interpretation tasks (e.g. image segmentation and image classification) have been re-formulated under a deep learning framework with impressive results. These early successes have been attributed to three factors: data, learning algorithms, and fast computation. I will present examples of deep learning applications to medical imaging from our research group highlighting the versatility, opportunities, and challenges in this area (website: www.MedicalImageAnalysis.com).
