Note: This repository is currently a work in progress. Please contact us for more details here.
- [17 July 2023] - OpenJPHpy our toolkit for encoding and/or decoding High-Throughput JPEG 2000 (HTJ2K) images directly through Python is now available here.
- [1 July 2023] - Our preprint on MIST is available on arXiv here.
The Medical Image Streaming Toolkit (MIST), an open-source framework that operationalizes progressive resolution for medical imaging data by progressively encoding and streaming medical imaging datasets. MIST is built on the scientific premise that progressive resolution can:
- Dramatically reduce medical image data infrastructure costs by reducing storage and data transfer bandwidth requirements
- Improve image data useability by making it more practical for users to download this data, even with low storage or slow internet connections.
In our preprint, we demonstrate that MIST can dramatically reduce medical image data infrastructure requirements for hosting and streaming datasets while maintaining diagnostic image quality and information for deep learning analyses and applications.
