Stain independent segmentation of whole slide images: A case study in renal histology

Gupta L, Klinkhammer BM, Boor P, Merhof D, Gadermayr M (2018)

Publication Type: Conference contribution

Publication year: 2018

Journal

Proceedings - International Symposium on Biomedical Imaging

Publisher: IEEE Computer Society

Book Volume: 2018-April

Pages Range: 1360-1364

Conference Proceedings Title: Proceedings - International Symposium on Biomedical Imaging

Event location: Washington, DC, USA

ISBN: 9781538636367

DOI: 10.1109/ISBI.2018.8363824

Abstract

Most automated image segmentation approaches in histological analyses are either developed or trained for a specific histological stain. In this paper, we propose and investigate a stain independent segmentation framework, which extends the application of an existing segmentation routine developed for a specific stain to arbitrary stains. The idea is to bring consecutive slides with different stains into spatial alignment to be able to transfer the location information obtained by segmenting images with a particular stain onto the successively registered images dyed with other stains. In a case study with renal whole slide images, we perform experiments and compare the results of the proposed method with straight-forward segmentation (i.e. segmenting the stain, the method had been developed for) and also evaluated the impact of the remaining alignment error.

Involved external institutions

Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen DE Germany (DE) Universitätsklinikum Aachen (UKA) DE Germany (DE)

How to cite

APA:

Gupta, L., Klinkhammer, B.M., Boor, P., Merhof, D., & Gadermayr, M. (2018). Stain independent segmentation of whole slide images: A case study in renal histology. In Proceedings - International Symposium on Biomedical Imaging (pp. 1360-1364). Washington, DC, USA: IEEE Computer Society.

MLA:

Gupta, Laxmi, et al. "Stain independent segmentation of whole slide images: A case study in renal histology." Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, DC, USA IEEE Computer Society, 2018. 1360-1364.

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