TY - GEN
T1 - CHIPS – A service for collecting, organizing, processing, and sharing medical image data in the cloud
AU - Pienaar, Rudolph
AU - Turk, Ata
AU - Bernal-Rusiel, Jorge
AU - Rannou, Nicolas
AU - Haehn, Daniel
AU - Grant, P. Ellen
AU - Krieger, Orran
N1 - Publisher Copyright:
© 2017, Springer International Publishing AG.
PY - 2017
Y1 - 2017
N2 - Web browsers are increasingly used as middleware platforms offering a central access point for service provision. Using backend containerization, RESTful APIs, and distributed computing allows for complex systems to be realized that address the needs of modern compute intense environments. In this paper, we present a web-based medical image data and information management software platform called CHIPS (Cloud Healthcare Image Processing Service). This cloud-based services allows for authenticated and secure retrieval of medical image data from resources typically found in hospitals, organizes and presents information in a modern feed-like interface, provides access to a growing library of plugins that process these data, allows for easy data sharing between users and provides powerful 3D visualization and real-time collaboration. Image processing is orchestrated across additional cloud-based resources using containerization technologies.
AB - Web browsers are increasingly used as middleware platforms offering a central access point for service provision. Using backend containerization, RESTful APIs, and distributed computing allows for complex systems to be realized that address the needs of modern compute intense environments. In this paper, we present a web-based medical image data and information management software platform called CHIPS (Cloud Healthcare Image Processing Service). This cloud-based services allows for authenticated and secure retrieval of medical image data from resources typically found in hospitals, organizes and presents information in a modern feed-like interface, provides access to a growing library of plugins that process these data, allows for easy data sharing between users and provides powerful 3D visualization and real-time collaboration. Image processing is orchestrated across additional cloud-based resources using containerization technologies.
KW - Applied containerization
KW - Big-data
KW - Cloud-storage
KW - HTML5
KW - Real-time collaboration
KW - Telemedicine
KW - Web services
KW - Web-based collaborative visualization
KW - Web-based neuroimaging
UR - https://www.scopus.com/pages/publications/85028989424
UR - https://www.scopus.com/pages/publications/85028989424#tab=citedBy
U2 - 10.1007/978-3-319-67186-4_3
DO - 10.1007/978-3-319-67186-4_3
M3 - Conference contribution
AN - SCOPUS:85028989424
SN - 9783319671857
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 29
EP - 35
BT - Data Management and Analytics for Medicine and Healthcare - 3rd International Workshop, DMAH 2017 Held at VLDB 2017, Proceedings
A2 - Begoli, Edmon
A2 - Luo, Gang
A2 - Wang, Fusheng
PB - Springer Verlag
T2 - 3rd International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2017 held in conjunction with the 43rd International Conference on Very Large Data Bases, VLDB 2017
Y2 - 1 September 2017 through 1 September 2017
ER -