DeeperHistReg: Robust Whole Slide Images Registration Framework

2024/04/19 by Marek Wodziński, Niccolò Marini, Wodzinski, Marek +5 · 4 citations
Computer Science · Engineering · #Medical Image Segmentation Techniques #Advanced Neural Network Applications #Medical Imaging and Analysis

paper · pdf · doi:10.48550/arxiv.2404.14434

Abstract

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.

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