Using linked data and Web APIs for automating the pre-processing of medical images
Publication date
2014-10-07
Document type
Konferenzbeitrag
Author
Gemmeke, Philipp
Philipp, Patrick
Götz, Michael
Weber, Christian
Kämpgen, Benedikt
Nolden, Marco
Maier-Hein, Klaus
Rettinger, Achim
Organisational unit
Karlsruhe Institute of Technology
Scopus ID
ISSN
Conference
Consuming Linked Data (COLD 2014) : Riva del Garda, Italy, October 20, 2014
Series or journal
CEUR Workshop Proceedings
Periodical volume
1264
Book title
Proceedings of the 5th International Workshop on Consuming Linked Data (COLD 2014) co-located with the 13th International Semantic Web Conference (ISWC 2014)
Part of the university bibliography
Nein
Keyword
Application programming interfaces (API)
Medical image processing
Medical imaging
Pipeline processing systems
Semantic web
Social networking (online)
Abstract
Current developments in the health care sector are marked by the increased digitalisation of patient records, the use of electronic devices as supporting tools in patient care, and the employment of sensors (e.g. monitoring devices and surgery recording devices), which contribute directly to the abundance of medical data. However, before any significant benefits can be derived based on these growing data volumes and sources, challenges such as data format heterogeneity, distribution of the data sets, interoperability issues and basic pre-processing have to be addressed. In this paper we present an approach and a concrete architecture that support data consolidation and integration based on Linked Data principles. Furthermore, our solution enables the exible composition and execution of data processing pipelines, based on individual processing steps, exposed through semantically described Web APIs. We demonstrate the applicability of our approach by implementing a specific scenario-Brain Tumour Progression Maps, evaluating the performance of the distributed Web API-based solution in comparison to a local execution, and determining the coverage of derived requirements.
Version
Published version
Access right on openHSU
Metadata only access