Automatic Detection of Tumor Buds in Pan-Cytokeratin Stained Colorectal Cancer Sections by a Hybrid Image Analysis Approach

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Bergler M, Benz M, Rauber D, Hartmann D, Kötter M, Eckstein M, Schneider-Stock R, Hartmann A, Merkel S, Bruns V, Wittenberg T, Geppert C
Editor(s): Reyes-Aldasoro CC, Janowczyk A, Veta M, Bankhead P, Sirinukunwattana K
Publisher: Springer International Publishing
Publishing place: Cham
Publication year: 2019
Conference Proceedings Title: Digital Pathology
Pages range: 83--90
ISBN: 978-3-030-23937-4
Language: English


Abstract

This contribution introduces a novel approach to the automatic detection of tumor buds in a digitalized pan-cytokeratin stained colorectal cancer slide. Tumor buds are representing an invasive pattern and are frequently investigated as a new diagnostic factor for measuring the aggressiveness of colorectal cancer. However, counting the number of buds under the microscope in a high power field by eyeballing is a strenuous, lengthy and error-prone task, whereas an automated solution could save time for the pathologists and enhance reproducibility. We propose a new hybrid method that consists of two steps. First possible tumor bud candidates are detected using a chain of classical image processing methods. Afterwards a convolutional deep neural network is applied to filter and reduce the number of false positive candidates detected in the first step. By comparing the automatically detected buds with a gold standard created by manual annotations, we gain a score of 0.977 for precision and 0.934 for sensitivity in our test sets on over 8.000 tumor buds.


FAU Authors / FAU Editors

Bergler, Matthias
Hartmann, Arndt Prof. Dr. med.
Lehrstuhl für Informatik 9 (Graphische Datenverarbeitung)
Lehrstuhl für Allgemeine Pathologie und Pathologische Anatomie
Eckstein, Markus Dr. med.
Pathologisches Institut
Geppert, Carol
Lehrstuhl für Allgemeine Pathologie und Pathologische Anatomie
Merkel, Susanne Prof. Dr.
Chirurgische Klinik
Schneider-Stock, Regine Prof. Dr.
Professur für Experimentelle Tumorpathologie
Wittenberg, Thomas PD Dr.
Technische Fakultät


External institutions with authors

Fraunhofer-Institut für Integrierte Schaltungen (IIS)


How to cite

APA:
Bergler, M., Benz, M., Rauber, D., Hartmann, D., Kötter, M., Eckstein, M.,... Geppert, C. (2019). Automatic Detection of Tumor Buds in Pan-Cytokeratin Stained Colorectal Cancer Sections by a Hybrid Image Analysis Approach. In Reyes-Aldasoro CC, Janowczyk A, Veta M, Bankhead P, Sirinukunwattana K (Eds.), Digital Pathology (pp. 83--90). Warwick , UK: Cham: Springer International Publishing.

MLA:
Bergler, Matthias, et al. "Automatic Detection of Tumor Buds in Pan-Cytokeratin Stained Colorectal Cancer Sections by a Hybrid Image Analysis Approach." Proceedings of the Kötter Malte, Warwick , UK Ed. Reyes-Aldasoro CC, Janowczyk A, Veta M, Bankhead P, Sirinukunwattana K, Cham: Springer International Publishing, 2019. 83--90.

BibTeX: 

Last updated on 2019-11-07 at 14:38