Please use this identifier to cite or link to this item:
Title: Segmentation of the Main Structures in Hematoxylin and Eosin Images
Authors: Çayır, Sercan
Serteli, Ercan Alp
Ayalti, Samet
Çetin, Şükrü Burak
Hatipoğlu, Gökhan
Kamasak, Mustafa
Çetin, Ekrem Cihad
Keywords: Hematoxylin-Eosin staining
Digital pathology
Image processing
Issue Date: 2018
Publisher: IEEE
Source: 26th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEY
Series/Report no.: Signal Processing and Communications Applications Conference
Abstract: Pathologists conduct a biopsy on a tissue when a carcinoma case for a patient is suspected. They stain the cells on that tissue using some biochemical materials that react with a certain cell element. They put stained cells onto a slide and examine the cells by using an optical microscope device. In our case, we will focus on H&E stained breast tissue samples. Pathologists keep track of a standard process to determine the patient's condition by focusing on the structures in H&E stained images such as epithelium, lumen, and nuclei. They employ scoring methods with quantitative and qualitative inferences in this decision process. Those inferences contain mitotic nuclei activity, number of the nucleus, lumen region distribution, epithelium area size and so on. Each factor has a score for the patient's carcinoma case. In this paper a novel image processing algorithm is developed to enable the pathologists to make decisions easily by segmenting epithelium, lumen and nuclei structures. Actual microscopic images could show some degenerated cell structures because of staining variability and some artifacts. Our algorithm demonstrates the structures clearly while colorizing them with distinctive colors considering their transparency.
ISBN: 978-1-5386-1501-0
ISSN: 2165-0608
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record

CORE Recommender

Page view(s)

checked on Dec 26, 2022

Google ScholarTM



Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.