Evaluating Out-of-the-Box Methods for the Classification of Hematopoietic Cells in Images of Stained Bone Marrow
Graebel P, Crysandt M, Herwartz R, Hoffmann M, Klinkhammer BM, Boor P, Bruemmendorf TH, Merhof D (2018)
Publication Type: Conference contribution
Publication year: 2018
Journal
Publisher: Springer Verlag
Book Volume: 11039 LNCS
Pages Range: 78-85
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: 9783030009489
DOI: 10.1007/978-3-030-00949-6_10
Abstract
Compared to the analysis of blood cells in microscope images of peripheral blood, bone marrow images are much more challenging for automated cell classification: not only are the cells more densely distributed, there are also significantly more types of hematopoietic cells. So far, several attempts have been made using custom image features and prior knowledge in form of cytoplasm and nuclei segmentations or a restricted number of cell types in peripheral blood. Instead of hand-crafting features and classification methods for bone marrow images, we compare several well-known methods on our more challenging dataset and we show that while generic classical machine learning approaches cannot compete with specialized algorithms, even out-of-the-box deep learning methods already yield valuable results. Our findings indicate that automated analysis of bone marrow images becomes possible with the advent of convolutional neural networks.
Involved external institutions
Germany (DE)How to cite
APA:
Graebel, P., Crysandt, M., Herwartz, R., Hoffmann, M., Klinkhammer, B.M., Boor, P.,... Merhof, D. (2018). Evaluating Out-of-the-Box Methods for the Classification of Hematopoietic Cells in Images of Stained Bone Marrow. In Zeike Taylor, Hrvoje Bogunovic, David Snead, Mona K. Garvin, Xin Jan Chen, Francesco Ciompi, Yanwu Xu, Lena Maier-Hein, Mitko Veta, Emanuele Trucco, Danail Stoyanov, Nasir Rajpoot, Jeroen van der Laak, Anne Martel, Stephen McKenna (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 78-85). Granada, ESP: Springer Verlag.
MLA:
Graebel, Philipp, et al. "Evaluating Out-of-the-Box Methods for the Classification of Hematopoietic Cells in Images of Stained Bone Marrow." Proceedings of the 1st International Workshop on Computational Pathology, COMPAY 2018 and 5th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2018 Held in Conjunction with MICCAI 2018, Granada, ESP Ed. Zeike Taylor, Hrvoje Bogunovic, David Snead, Mona K. Garvin, Xin Jan Chen, Francesco Ciompi, Yanwu Xu, Lena Maier-Hein, Mitko Veta, Emanuele Trucco, Danail Stoyanov, Nasir Rajpoot, Jeroen van der Laak, Anne Martel, Stephen McKenna, Springer Verlag, 2018. 78-85.
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