# Accurate and Robust Alignment of Variable-stained Histologic Images Using a General-purpose Greedy Diffeomorphic Registration Tool

arXiv: https://arxiv.org/abs/1904.11929 · HTML: https://mlsanity.com/paper/1904.11929/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 26 Apr 2019.

## Built on by (most cited first, 2 of 2)

- [A Hybrid Deep Feature-Based Deformable Image Registration Method for Pathology Images](https://mlsanity.com/paper/2208.07655/) (2022)
- [Systematic Evaluation of Preprocessing Techniques for Accurate Image Registration in Digital Pathology](https://mlsanity.com/paper/2511.04171/) (2025)

## Abstract (arXiv)

Variously stained histology slices are routinely used by pathologists to assess extracted tissue samples from various anatomical sites and determine the presence or extent of a disease. Evaluation of sequential slides is expected to enable a better understanding of the spatial arrangement and growth patterns of cells and vessels. In this paper we present a practical two-step approach based on diffeomorphic registration to align digitized sequential histopathology stained slides to each other, starting with an initial affine step followed by the estimation of a detailed deformation field.