An Automated and Accurate Methodology to Assess Ki-67 Labeling Index of Immunohistochemical Staining Images of Breast Cancer Tissues

Salar Razavi, Fariba D. Khameneh, Ercan Alp Serteli, Sercan Cayir, Sukru Burak Cetin, Gokhan Hatipoglu, Samet Ayalti, Mustafa Kamasak

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

Automatic scoring of Ki-67 with digital image analysis would improve the accuracy of the diagnostic. However, automatic Ki-67 assessment is very challenging due to complex variations of cell characteristics. In this paper, we propose an integrated framework for accurate Ki-67 scoring. The main contributions of our method are: a robust cell detection algorithm to detect all tumor and non-tumor cells; a clustering model for computerized classification of tumor and non-tumor cells and subsequent proliferation rate scoring by quantifying Ki-67, based on classified cells which appear in breast cancer immunohistochemical images. Unlike existing Ki-67 scoring techniques, our methodology works on whole slide images (WSI) using patches that are extracted from detected tissues. As the size of each sample is so large they can not be handled as a single image. Therefore, each slide is divided into small parts and on edge tiles merging is considered to preserve the continuity of nuclei. The proposed method has been extensively evaluated on tissue microarray (TMA) whole slides, and the cell detection performance is comparable to manual annotations and is very accurate compared with the estimation of an experienced pathologist.

Original languageEnglish
Title of host publicationProceedings - 2018 25th International Conference on Systems, Signals and Image Processing, IWSSIP 2018
EditorsAles Zamuda, Peter Planinsic, Dusan Gleich
PublisherIEEE Computer Society
ISBN (Print)9781538669792
DOIs
Publication statusPublished - 17 Aug 2018
Externally publishedYes
Event25th International Conference on Systems, Signals and Image Processing, IWSSIP 2018 - Maribor, Slovenia
Duration: 20 Jun 201822 Jun 2018

Publication series

NameInternational Conference on Systems, Signals, and Image Processing
Volume2018-June
ISSN (Print)2157-8672
ISSN (Electronic)2157-8702

Conference

Conference25th International Conference on Systems, Signals and Image Processing, IWSSIP 2018
Country/TerritorySlovenia
CityMaribor
Period20/06/1822/06/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Computer-aided diagnosis
  • Digital pathology
  • Immunohistology
  • Ki-67
  • Whole-slide imaging

Fingerprint

Dive into the research topics of 'An Automated and Accurate Methodology to Assess Ki-67 Labeling Index of Immunohistochemical Staining Images of Breast Cancer Tissues'. Together they form a unique fingerprint.

Cite this