Which way round? A study on the performance of stain-translation for segmenting arbitrarily dyed histological images
Gadermayr M, Appel V, Klinkhammer BM, Boor P, Merhof D (2018)
Publication Type: Conference contribution
Publication year: 2018
Journal
Publisher: Springer Verlag
Book Volume: 11071 LNCS
Pages Range: 165-173
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Granada, ESP
ISBN: 9783030009335
DOI: 10.1007/978-3-030-00934-2_19
Abstract
Image-to-image translation based on convolutional neural networks recently gained popularity. Especially approaches relying on generative adversarial networks facilitating unpaired training open new opportunities for image analysis. Making use of an unpaired image-to-image translation approach, we propose a methodology to perform stain-independent segmentation of histological whole slide images requiring annotated training data for one single stain only. In this experimental study, we propose and investigate two different pipelines for performing stain-independent segmentation, which are evaluated with three different stain combinations showing different degrees of difficulty. Whereas one pipeline directly translates the images to be evaluated and uses a segmentation model trained on original data, the other “way round” translates the training data in order to finally segment the original images. The results exhibit good performance especially for the first approach and provide evidence that the direction of translation plays a crucial role considering the final segmentation accuracy.
Involved external institutions
Germany (DE)How to cite
APA:
Gadermayr, M., Appel, V., Klinkhammer, B.M., Boor, P., & Merhof, D. (2018). Which way round? A study on the performance of stain-translation for segmenting arbitrarily dyed histological images. In Gabor Fichtinger, Christos Davatzikos, Carlos Alberola-López, Alejandro F. Frangi, Julia A. Schnabel (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 165-173). Granada, ESP: Springer Verlag.
MLA:
Gadermayr, Michael, et al. "Which way round? A study on the performance of stain-translation for segmenting arbitrarily dyed histological images." Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018, Granada, ESP Ed. Gabor Fichtinger, Christos Davatzikos, Carlos Alberola-López, Alejandro F. Frangi, Julia A. Schnabel, Springer Verlag, 2018. 165-173.
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