A Multi-level Thresholding Based Segmentation Method for Microscopic Fluorescence In Situ Hybridization (FISH) Images

被引：0

作者：

Kabakci, Kaan A. ^{[1
]}

Capar, Abdulkerim ^{[2
]}

Toreyin, B. Ugur ^{[2
]}

Akkoc, Mertkan ^{[1
]}

Borazan, Ozan ^{[1
]}

Turkmen, Ilknur ^{[3
]}

Ata, Lutfiye Durak ^{[2
]}

机构：

[1] Istanbul Tech Univ, Elektron Haberlesme Muhendisligi Bolumu, Istanbul, Turkey

[2] Istanbul Tech Univ, Bilisim Enstittisu, Istanbul, Turkey

[3] Istanbul Medipol Univ, Patoloji Anabilim Dali, Istanbul, Turkey

来源：

2016 24TH SIGNAL PROCESSING AND COMMUNICATION APPLICATION CONFERENCE (SIU) | 2016年

关键词：

microscopic image analysis; fluorescence in situ hybridization (FISH); cell segmentation; FISH signal detection;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Fluorescence in situ hybridization (FISH) technique widely used in cancer diagnosis is based on displaying chromosomal regions as FISH signals by staining with specific dyes. In this study, a new multi-level thresholding based FISH signal segmentation method is proposed for images produced by FISH technique. Cell nuclei are segmented on images, that are grabbed from fluorescence microcopes at high resolution, with adaptive thresholding, distance transform and watershed methods. FISH signals falling in cell boundaries are detected by applying multi-level thresholding and morphological post processes thanks to proposed segmentation method. It is observed that the detection rate of the proposed method on 49 FISH images taken from real patients, are higher than other widely used techniques in the literature.

引用

页码：849 / 852

页数：4

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