A New Augmented K-Means Algorithm for Seed Segmentation in Microscopic Images of the Colon Cancer

In this study, we analyze histologic human colon tissue images that we captured with a camera-mounted microscope. We propose the Augmented K-Means Clustering algorithm as a method of segmenting cell nuclei in such colon images. Then we compare the proposed algorithm to the weighted K-Means Clusterin...

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Bibliographic Details
Main Authors: Hayrettin Evirgen, Mustafa Cihat Avunduk, Ulaş Yurtsever
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2018-01-01
Series:Tehnički Vjesnik
Subjects:
Online Access:https://hrcak.srce.hr/file/293192