Health Tech Lunch - Camille Kurtz

Health Tech Lunch - 30.05.2017, 12h00 - Sierre, Techno-Pôle (Room Maïa)

Presentation by Camille Kurtz

Semantic image indexation and retrieval in medical databases for clinical decision support

Information retrieval based on image content can assist physicians by finding similar medical images in databases, as a means to providing clinical decision support. In general, images are indexed using low-level quantitative features (descriptors), and given a new query image, a similarity function is used to find the best matches in the feature space. However, using low-level features to capture the appearance of diseases in images is challenging and the semantic gap between these features and the high-level visual concepts in medicine may impair the system performance. This talk will present some prospective ideas to embed features of higher semantic levels and user feedback in image retrieval systems, with examples in the domain of Radiology, aiming to reduce the visual ambiguity when searching for similar images data.