Analysis of automatically generated embedding guides for cell classification
Graebel P, Thull J, Crysandt M, Klinkhammer BM, Boor P, Bruemmendorf TH, Merhof D (2022)
Publication Type: Conference contribution
Publication year: 2022
Publisher: Institute of Electrical and Electronics Engineers Inc.
Conference Proceedings Title: 2022 11th International Conference on Image Processing Theory, Tools and Applications, IPTA 2022
Event location: Salzburg, AUT
ISBN: 9781665469647
DOI: 10.1109/IPTA54936.2022.9784119
Abstract
Automated cell classification in human bone marrow microscopy images could lead to faster acquisition and, therefore, to a considerably larger number of cells for the statistical cell count analysis. As basis for the diagnosis of hematopoietic dis-eases such as leukemia, this would be a significant improvement of clinical workflows. The classification of such cells, however, is challenging, partially due to dependencies between different cell types. In 2021, guided representation learning was introduced as an approach to include this domain knowledge into training by providing 'embedding guides' as an optimization target for individual cell types. In this work, we propose improvements to guided repre-sentation learning by automatically generating guides based on graph optimization algorithms. We incorporate information about the visual similarity and the impact on diagnosis of mis-classifications. We show that this reduces critical false predictions and improves the overall classification F-score by up to 2.5 percentage points.
Involved external institutions
Germany (DE)How to cite
APA:
Graebel, P., Thull, J., Crysandt, M., Klinkhammer, B.M., Boor, P., Bruemmendorf, T.H., & Merhof, D. (2022). Analysis of automatically generated embedding guides for cell classification. In 2022 11th International Conference on Image Processing Theory, Tools and Applications, IPTA 2022. Salzburg, AUT: Institute of Electrical and Electronics Engineers Inc..
MLA:
Graebel, Philipp, et al. "Analysis of automatically generated embedding guides for cell classification." Proceedings of the 11th International Conference on Image Processing Theory, Tools and Applications, IPTA 2022, Salzburg, AUT Institute of Electrical and Electronics Engineers Inc., 2022.
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