Augmented Mitotic Cell Count Using Field of Interest Proposal
Aubreville M, Bertram CA, Klopfleisch R, Maier A (2019)
Publication Type: Conference contribution
Publication year: 2019
Journal
Publisher: Springer Berlin Heidelberg
Pages Range: 321-326
Conference Proceedings Title: Informatik aktuell
Event location: Lübeck
ISBN: 9783658253257
DOI: 10.1007/978-3-658-25326-4_71
Abstract
Histopathological prognostication of neoplasia including most tumor grading systems are based upon a number of criteria. Probably the most important is the number of mitotic figures which are most commonly determined as the mitotic count (MC), i.e. number of mitotic figures within 10 consecutive high power fields. Often the area with the highest mitotic activity is to be selected for the MC. However, since mitotic activity is not known in advance, an arbitrary choice of this region is considered one important cause for high variability in the prognostication and grading. In this work, we present an algorithmic approach that first calculates a mitotic cell map based upon a deep convolutional network. This map is in a second step used to construct a mitotic activity estimate. Lastly, we select the image segment representing the size of ten high power fields with the overall highest mitotic activity as a region proposal for an expert MC determination. We evaluate the approach using a dataset of 32 completely annotated whole slide images, where 22 were used for training of the network and 10 for test. We find a correlation of r=0.936 in mitotic count estimate.
Authors with CRIS profile
Marc Aubreville
Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)
Andreas Maier
Lehrstuhl für Informatik 5 (Mustererkennung)
Related research project(s)
Involved external institutions
How to cite
APA:
Aubreville, M., Bertram, C.A., Klopfleisch, R., & Maier, A. (2019). Augmented Mitotic Cell Count Using Field of Interest Proposal. In Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 321-326). Lübeck, DE: Springer Berlin Heidelberg.
MLA:
Aubreville, Marc, et al. "Augmented Mitotic Cell Count Using Field of Interest Proposal." Proceedings of the Workshop on Bildverarbeitung fur die Medizin, 2019, Lübeck Ed. Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff, Springer Berlin Heidelberg, 2019. 321-326.
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