DeeperHistReg: Robust Whole Slide Images Registration Framework

Marek Wodzinski, Niccolò Marini, Manfredo Atzori, Henning Müller
4/19/2024
eess.IVcs.CVq-bio.QM

No official code found. Best implementation: MWod/DeeperHistReg (101 stars, CC-BY-SA-4.0, last commit 2024-04-26).

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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Code Implementations(1)

MWod/DeeperHistRegCommunity100%
CC-BY-SA-4.0

DeeperHistReg - Source Code

10118Shell, PythonAug 23, 20222 years agoCC-BY-SA-4.0
deep-learningdigital-pathologyhistopathologyimage-registrationwsi-images+1 more

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Cite this paper

@article{wodzinski2024deeperhistreg,
  title  = {DeeperHistReg: Robust Whole Slide Images Registration Framework},
  author = {Marek Wodzinski and Niccolò Marini and Manfredo Atzori and Henning Müller},
  year   = {2024},
  eprint = {2404.14434},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2404.14434v1}
}

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