Stride is an open-source library for ultrasound modelling and tomography that provides flexibility and scalability together with production-grade performance.
It lets users easily prototype medical imaging algorithms with only a few lines of Python code that can run seamlessly on a local workstation, a multi-node CPU cluster or a DGX station with production-grade performance.
Stride provides end-to-end definition of the imaging process using state-of-the-art reconstruction algorithms, and the flexibility to (re)define every step of the optimisation.
You can get instructions on how to download and install Stride here.
To learn how to use Stride, check out the tutorials and examples provided.
You can find the API Reference here.
For information on the parallelisation library Mosaic, check the specific documentation here.