Deep Learning for Anomaly Detection - Expanding Our Marker Vocabulary

Explore deep learning techniques for anomaly detection in medical applications through this 54-minute lecture by Georg Langs from the Medical University of Vienna. Delve into the expansion of marker vocabulary and its implications for identifying abnormalities in medical imaging. Learn how advanced deep learning algorithms can enhance the detection and classification of anomalies, potentially improving diagnostic accuracy and patient outcomes. Gain insights into the latest developments in this field as presented at the Deep Learning and Medical Applications 2020 conference hosted by the Institute for Pure and Applied Mathematics at UCLA.

Georg Langs: "Deep learning for anomaly detection: expanding our marker vocabulary"