Scalable HEVC for histological whole-slide image compression
Bug D, Bartsch F, Schaadt NS, Wien M, Feuerhake F, Schüler J, Oswald E, Merhof D (2020)
Publication Type: Conference contribution
Publication year: 2020
Journal
Publisher: Springer
Pages Range: 315-321
Conference Proceedings Title: Informatik aktuell
Event location: Berlin, DEU
ISBN: 9783658292669
DOI: 10.1007/978-3-658-29267-6_71
Abstract
Digital whole-slide images (WSI) are scanned representations of histological tissue at microscopic scale, enabling computer aided diagnosis and remote pathology applications. However, the data sizes may hinder a widespread use, as raw files can easily exceed 10-20GB. In this work, we explore the Scalable High Effciency Video Coding (SHVC) as a replacement for the JPEG standard currently found in most vendor formats. Besides a comparison of the compression rates, this work comprises a user-study to estimate SHVC quantization parameters (QP) and JPEG quality level that threshold the just-noticeable distortions (JND) for a compression below the JND.
Involved external institutions
Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen
Germany (DE)
Medizinische Hochschule Hannover (MHH) / Hannover Medical School
Germany (DE)
Charles River Laboratories (CRL) (Germany)
Germany (DE)
Germany (DE)
Medizinische Hochschule Hannover (MHH) / Hannover Medical School
Germany (DE)
Charles River Laboratories (CRL) (Germany)
Germany (DE)
How to cite
APA:
Bug, D., Bartsch, F., Schaadt, N.S., Wien, M., Feuerhake, F., Schüler, J.,... Merhof, D. (2020). Scalable HEVC for histological whole-slide image compression. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 315-321). Berlin, DEU: Springer.
MLA:
Bug, Daniel, et al. "Scalable HEVC for histological whole-slide image compression." Proceedings of the International workshop on Algorithmen - Systeme - Anwendungen, 2020, Berlin, DEU Ed. Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm, Springer, 2020. 315-321.
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