CHIPS: A Service for Collecting, Organizing, Processing, and Sharing Medical Image Data in the Cloud
Rudolph Pienaar, Ata Turk, Jorge Bernal-Rusiel, Nicolas Rannou, Daniel, Haehn, P. Ellen Grant, and Orran Krieger

TL;DR
CHIPS is a cloud-based platform that enables secure management, processing, visualization, and sharing of medical image data using web technologies, containerization, and distributed computing.
Contribution
It introduces a comprehensive web-based system integrating secure data management, plugin-based processing, and real-time collaboration for medical images in the cloud.
Findings
Secure retrieval and organization of medical images
Integration of processing plugins and 3D visualization
Supports real-time collaboration and data sharing
Abstract
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
