Abstract: Joint Imaging Platform for Federated Clinical Data Analytics

Autor:	Jonas Scherer, Jens Kleesiek, Hanno Gao, Klaus H. Maier-Hein, Marco Nolden, Klaus Kades, Peter Neher, Heinz-Peter Schlemmer, Ralf Floca, Verena Schneider, Jasmin Metzger
Rok vydání:	2021
Předmět:	German business.industry Computer science Health care language Data analysis Joint imaging Applications of artificial intelligence business Data science language.human_language
Zdroj:	Bildverarbeitung für die Medizin 2021 ISBN: 9783658331979 Bildverarbeitung für die Medizin
Popis:	Image analysis is one of the most promising applications of artificial intelligence (AI) in healthcare, potentially improving prediction, diagnosis and treatment of diseases. While scientific advances in this area critically depend on the accessibility of large-volume and high-quality data, sharing data between institutions faces various ethical and legal constraints as well as organizational and technical obstacles. The Joint Imaging Platform (JIP) of the German Cancer Consortium (DKTK) addresses these issues by providing federated data analysis technology in a secure and compliant way [1].
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ec62efe09319a946370d0691bb087869 https://doi.org/10.1007/978-3-658-33198-6_31 Zobrazit plný text záznamu