DAME: Deep learning Algorithms for Medical image Evaluation

This video simply explains the DAME (Deep learning Algorithms for Medical image Evaluation) project, one of the projects DASH is involved in. It is about the development of software algorithms for the detection of abnormalities in medical images (imaging) based on machine learning. The aim of this project is to explore software solutions using deep learning technology to achieve automatic, fast and reliable detection of abnormalities (such as cancer) in medical images. The main advantage of this innovation is the development of a generic algorithm to recognize patterns in images, independent of the type of image (CT, MR, etc) or type of abnormality. This allows to use the same software system to solve a multitude of different clinical problems. The goal is not only to quickly identify healthy individuals, but also to detect abnormalities that are not directly linked to the clinical question (incidental findings). By automatically identifying all abnormalities in the images, missing something crucial will be avoided.

The DAME project has the following funding partners: INTERREG Deutschland Nederland, Niedersächsisches Ministerium für Bundes- und Europaangelegenheiten und Regionale Entwicklung, Ministerie van Economische Zaken en Klimaat, Provincie Groningen.

The DAME project has the following project partners: UMCG, DASH MLL, COSMONiO, Use-Lab GmbH, Radiologie West-Münsterland, Universitätsklinik für Medizinische Strahlenphysik Pius-Hospital Oldenburg, Carl von Ossietzky Universität Oldenburg.

www.deutschland-nederland.eu
Dieses Projekt wird im Rahmen des INTERREG-Programms von der Europäischen Union und den INTERREG-Partnern finanziell unterstützt.
Dit project wordt in het kader van het INTERREG-programma financieel ondersteund door de Europese Unie en de INTERREG-partners.

More information about the Data Science Center in Health (DASH)
Website: www.dash.umcg.nl
Email: [email protected]
Linkedin: www.linkedin.com/company/dash-umcg

DASH is the Data Science Center in Health of the UMCG: a knowledge hub, community and facilitator in the area of health data science. DASH aims to advance data science in health by supporting innovative research projects and by bringing experts in data science, machine learning and artificial intelligence together.