Automatic Embedding Interventions for the Classification of Hematopoietic Cells
Graebel P, Thull J, Crysandt M, Klinkhammer BM, Boor P, Bruemmendorf TH, Merhof D (2022)
Publication Type: Conference contribution
Publication year: 2022
Journal
Publisher: Institute of Electrical and Electronics Engineers Inc.
Book Volume: 2022-August
Pages Range: 5104-5110
Conference Proceedings Title: Proceedings - International Conference on Pattern Recognition
Event location: Montreal, QC, CAN
ISBN: 9781665490627
DOI: 10.1109/ICPR56361.2022.9956601
Abstract
The classification of hematopoietic cells is the most essential step in automating the analysis of human bone marrow samples. However, the complex structure of cell classes as well as class imbalance make this a challenging task, even for neural networks. Based on projective latent interventions, we propose automatic interventions that iteratively update a learned embedding with suitable transformations that shift different cell types apart and contract samples of the same type together. We present different ways of applying these: either directly on a higher-dimensional embedding or in a parametric version in two dimensions. We analyze the hyper-parameters and evaluate the proposed approach on a challenging dataset of hematopoietic cells. The results show an improvement of up to 3 percentage points for the classification F-score.
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). Automatic Embedding Interventions for the Classification of Hematopoietic Cells. In Proceedings - International Conference on Pattern Recognition (pp. 5104-5110). Montreal, QC, CAN: Institute of Electrical and Electronics Engineers Inc..
MLA:
Graebel, Philipp, et al. "Automatic Embedding Interventions for the Classification of Hematopoietic Cells." Proceedings of the 26th International Conference on Pattern Recognition, ICPR 2022, Montreal, QC, CAN Institute of Electrical and Electronics Engineers Inc., 2022. 5104-5110.
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