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

Beitrag bei einer Tagung
(Konferenzbeitrag)


Details zur Publikation

Autorinnen und Autoren: 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
Herausgeber: Reyes-Aldasoro CC, Janowczyk A, Veta M, Bankhead P, Sirinukunwattana K
Verlag: Springer International Publishing
Verlagsort: Cham
Jahr der Veröffentlichung: 2019
Tagungsband: Digital Pathology
Seitenbereich: 83--90
ISBN: 978-3-030-23937-4
Sprache: Englisch


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-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Bergler, Matthias
Lehrstuhl für Informatik 9 (Graphische Datenverarbeitung)
Eckstein, Markus Dr. med.
Pathologisches Institut
Geppert, Carol
Lehrstuhl für Allgemeine Pathologie und Pathologische Anatomie
Hartmann, Arndt Prof. Dr. med.
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


Einrichtungen weiterer Autorinnen und Autoren

Fraunhofer-Institut für Integrierte Schaltungen (IIS)


Zitierweisen

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: 

Zuletzt aktualisiert 2019-11-07 um 14:38