DeeperHistReg: Robust Whole Slide Images Registration Framework
This provides a tool for researchers in medical imaging to handle large-scale WSI registration, though it is incremental as it integrates existing state-of-the-art methods.
The authors tackled the problem of registering whole slide images (WSIs) with multiple stains by developing DeeperHistReg, a software framework that enables preprocessing, initial alignment, and nonrigid registration, supporting images up to 200k x 200k resolution and offering extensibility for new algorithms.
DeeperHistReg is a software framework dedicated to registering whole slide images (WSIs) acquired using multiple stains. It allows one to perform the preprocessing, initial alignment, and nonrigid registration of WSIs acquired using multiple stains (e.g. hematoxylin \& eosin, immunochemistry). The framework implements several state-of-the-art registration algorithms and provides an interface to operate on arbitrary resolution of the WSIs (up to 200k x 200k). The framework is extensible and new algorithms can be easily integrated by other researchers. The framework is available both as a PyPI package and as a Docker container.