# Automatic Nonrigid Histological Image Registration with Adaptive Multistep Algorithm

arXiv: https://arxiv.org/abs/1904.00982 · HTML: https://mlsanity.com/paper/1904.00982/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 1 Apr 2019.

## Built on by (most cited first, 3 of 3)

- [MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training](https://mlsanity.com/paper/2501.07556/) (2025)
- [A Hybrid Deep Feature-Based Deformable Image Registration Method for Pathology Images](https://mlsanity.com/paper/2208.07655/) (2022)
- [STAR: A Fast and Robust Rigid Registration Framework for Serial Histopathological Images](https://mlsanity.com/paper/2509.02952/) (2025)

## Abstract (arXiv)

In this paper, we present a short description of the method proposed to ANHIR challenge organized jointly with the IEEE ISBI 2019 conference. We propose a method consisting of preprocessing, initial alignment, nonrigid registration algorithms and a method to automatically choose the best result. The method turned out to be robust (99.792% robustness) and accurate (0.38% average median rTRE). The main drawback of the proposed method is relatively high computation time. However, this aspect can be easily improved by cleaning the code and proposing a GPU implementation.