Spatial Maturity Regression 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
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/IPTA54936.2022.9784130
Abstract
In contrast to peripheral blood, cells in bone marrow microscopy images are not only characterized by the cell lineage but also a maturity stage within the lineage. As maturation is a continuous process, the differentiation between various stages falls into the category of (ordinal) regression. In this work, we propose Spatial Maturity Regression - a technique that regularizes the learning process to enforce a sensible positioning of maturity stages in the embedding space. To this end, we propose and evaluate several curve models, target definitions and loss function that incorporate this domain knowledge. We show that the classification F-scores improve up to 2.4 percentage points when enforcing regression targets along learnable curves in the embedding space. This technique further allows visualization of individual predictions by providing the projected position along the learnt curve.
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). Spatial Maturity Regression for the Classification of Hematopoietic Cells. 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. "Spatial Maturity Regression for the Classification of Hematopoietic Cells." 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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