Indonesian Applied Physics Letters
Vol. 1 No. 1 (2020): June

Tubule Formation Segmentation Of Histopathological Image Of Breast Cancer By Using Clustering Method

Hadiyyatan Waasilah (Universitas Airlangga)
Riries Rulaningtyas (Universitas Airlangga)
Winarno Winarno (Universitas Airlangga)
Anny Setijo Rahaju (Universitas Airlangga)

Article Info

Publish Date
11 Aug 2020

Abstract

Histopathological assessment is one of the examinations that allows the classification of breast cancer based on its level. Histopathological assessment factors are based on tubule formation, nuclear pleomorphism, and the mitotic count. This study only focused on tubule formation. The tubule formation was represented by a lumen surrounded a  nucleus. The segmentation of tubule histopathology of breast cancer method was using a combination of k-means clustering and graph cut. The image data used in this study were 15 images of breast cancer histopathology preparations using 5 variations in the number of clusters (k) in the k-means clustering method. The best results of tubule formation segmentation using k = 4, with an average value of balanced accuracy was 81.08% and the most optimal balanced accuracy results was 94.34%.

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Journal Info
Indonesian Applied Physics Letters
Website

Abbrev

IAPL

Publisher

Universitas Airlangga

Subject

Chemical Engineering, Chemistry & Bioengineering Electrical & Electronics Engineering Materials Science & Nanotechnology Physics

Description

Indonesian Applied Physics Letter is an multi-disciplinary international journal which publishes high quality scientific and engineering papers on all aspects of research in the area of applied physics and wide practical application of achieved results. The field of IAPL, which can be described as ...