Image quilting for histological image synthesis

Bug D, Nickel G, Grote A, Feuerhake F, Oswald E, Schüler J, Merhof D (2020)

Publication Type: Conference contribution

Publication year: 2020

Journal

Informatik aktuell Gesellschaft für Informatik (GI)

Publisher: Springer

Pages Range: 322-327

Conference Proceedings Title: Informatik aktuell

Event location: Berlin, DEU

ISBN: 9783658292669

DOI: 10.1007/978-3-658-29267-6_72

Abstract

Applications in digital histopathology often require costly expert labels to train modern machine learning algorithms. We introduce an adaptation of the Image Quilting algorithm for texture synthesis that is utilized to virtually multiply the tissues and labels. Potential applications are augmentation in neural network training and quality control in intra-rater experiments. We evaluate this method in a subjective expert trial and a quantitative augmented learning scenario.

Involved external institutions

Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen DE Germany (DE) Medizinische Hochschule Hannover (MHH) / Hannover Medical School DE Germany (DE) Charles River Laboratories (CRL) (Germany) DE Germany (DE)

How to cite

APA:

Bug, D., Nickel, G., Grote, A., Feuerhake, F., Oswald, E., Schüler, J., & Merhof, D. (2020). Image quilting for histological image synthesis. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 322-327). Berlin, DEU: Springer.

MLA:

Bug, Daniel, et al. "Image quilting for histological image synthesis." 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. 322-327.

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