Automated Fusion And Analysis Of Multimodal Preclinical 3D Data Sets
Felix Gremse, Lehrstuhl für Experimentelle Molekulare Bildgebung, Universitätsklinikum Aachen - Aachen, Germany
The anatomical data acquired with small animal μCT complements molecular imaging achieved with fluorescence mediated tomography (FMT). To routinely use this combination, an automated fusion is required, which is shown to be possible through robust marker detection. Furthermore the μCT provides the shape of the mouse, allowing a more accurate...
Tessella’s Best Practice Approach To Ruleset Development
Dr. Jennifer Cohen, Tessella - Abingdon, UK
In recent years digital pathology has established itself as a viable tool that enables scientists to interpret tissue samples and cell assays in a far more quantitative fashion than has previously been possible. At Tessella, our core team of specialist image analysts consultants, trained as a result of the Tessella-Definiens...
Introducing Medical Computer Vision At The University Of Applied Sciences Salzburg – The Fast-Track
Dr. Joachim Steinwendner, Head of the Computer and Information Technology Unit (CITU), Paracelsus Medical University - Salzburg, Austria
The Bologna Process had a strong impact on the higher education institutions in Europe producing amongst other things many new interesting study areas. At the University of Applied Sciences Salzburg the degree program “Information Technology and Systems Management” with the minor “eHealth” in the master program has been extended with...
Fostering The Definiens User Community: Perspectives From The Mother Ship
Dr. Martin Baatz, Vice President, Marketing, Definiens - Munich, Germany
Cognition Network Language is a generic programming language to solve image analysis problems. Often, the same task can be achieved using very different approaches, strategies and even dialects. Because image analysis problems can be challenging and complex, a systematic approach is necessary. The availability of approaches and techniques for the...