Augmented Mitotic Cell Count Using Field of Interest Proposal

Conference contribution


Publication Details

Author(s): Aubreville M, Bertram CA, Klopfleisch R, Maier A
Editor(s): Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff
Publisher: Springer Berlin Heidelberg
Publication year: 2019
Conference Proceedings Title: Informatik aktuell
Pages range: 321-326
ISBN: 9783658253257
ISSN: 1431-472X


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.


FAU Authors / FAU Editors

Aubreville, Marc
Lehrstuhl für Informatik 5 (Mustererkennung)
Maier, Andreas Prof. Dr.-Ing.
Lehrstuhl für Informatik 5 (Mustererkennung)


External institutions with authors

Freie Universität Berlin


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.

BibTeX: 

Last updated on 2019-17-05 at 10:38