A Fast and Scalable Pipeline for Stain Normalization of Whole-Slide Images in Histopathology
Abstract
Stain normalization is one of the main tasks in the processing pipeline of computer-aided diagnosis systems in modern digital pathology. Some of the challenges in this tasks are memory and runtime bottlenecks associated with large image datasets. In this work, we present a scalable and fast pipeline for stain normalization using a state-of-the-art unsupervised method based on stain-vector estimation. The proposed system supports single-node and distributed implementations. Based on a highly-optimized engine, our architecture enables high-speed and large-scale processing of high-magnification whole-slide images (WSI). We demonstrate the performance of the system using measurements from different datasets. Moreover, by using a novel pixel-sampling optimization we show lower processing time per image than the scanning time of ultrafast WSI scanners with the single-node implementation and additional 3.44 average speed-up with the 4-nodes distributed pipeline.
Cite
Text
Stanisavljevic et al. "A Fast and Scalable Pipeline for Stain Normalization of Whole-Slide Images in Histopathology." European Conference on Computer Vision Workshops, 2018. doi:10.1007/978-3-030-11024-6_32Markdown
[Stanisavljevic et al. "A Fast and Scalable Pipeline for Stain Normalization of Whole-Slide Images in Histopathology." European Conference on Computer Vision Workshops, 2018.](https://mlanthology.org/eccvw/2018/stanisavljevic2018eccvw-fast/) doi:10.1007/978-3-030-11024-6_32BibTeX
@inproceedings{stanisavljevic2018eccvw-fast,
title = {{A Fast and Scalable Pipeline for Stain Normalization of Whole-Slide Images in Histopathology}},
author = {Stanisavljevic, Milos and Anghel, Andreea and Papandreou, Nikolaos and Andani, Sonali and Pati, Pushpak and Rüschoff, Jan Hendrik and Wild, Peter and Gabrani, Maria and Pozidis, Haralampos},
booktitle = {European Conference on Computer Vision Workshops},
year = {2018},
pages = {424-436},
doi = {10.1007/978-3-030-11024-6_32},
url = {https://mlanthology.org/eccvw/2018/stanisavljevic2018eccvw-fast/}
}