istn | Image-and-Spatial Transformer Networks | Machine Learning library

istn is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. istn has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

We introduce a novel, generic, learning-based image registration framework, Image-and-Spatial Transformer Networks, to leverage Structures-of-Interest information allowing us to learn new image representations that are optimised for the downstream registration task. Thanks to these representations we can employ a test-specific, iterative refinement over the transformation parameters which yields highly accurate registration even with very limited training data.