Kromozom Bant Profilinin Alt Piksel Čözünürlüǧünde Čikarma Yöntemi

Yaser Moazzen; Abdulkerim Capar; Behcet Ugur Toreyin

doi:10.1109/SIU.2017.7960698

Kromozom Bant Profilinin Alt Piksel Čözünürlüǧünde Čikarma Yöntemi

Translated title of the contribution: A sub-pixel resolution method for chromosome band profile extraction

Yaser Moazzen^*, Abdulkerim Capar, Behcet Ugur Toreyin

^*Corresponding author for this work

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Chromosome classification is the essential task of karyotyping analysis which is videly used for detecting genetic anomalities. Chromosomes' band profiles based feature vectors are used frequently in the classification of them. Extracting of band profiles specially in the bent parts of chromosome may be lossy. In this study, an special sub-pixel resolution based method for lossless exctraction of chromosomes' band profile is proposed. This method models the skeleton of chromosomes as piece-wise linear equations using normal lines to the chromosome boundary. Based on the obtained model, extracting of band profiles is done by forming the skeleton normal lines in the sub-pixel resolution. For evaluation the accuracy of band profile extraction, a measure defined as 'Percent of Band Profile Loss' demonstrates the proposed method as an alternative method which results to lossless chromosome band profile extraction.

Translated title of the contribution	A sub-pixel resolution method for chromosome band profile extraction
Original language	Turkish
Title of host publication	2017 25th Signal Processing and Communications Applications Conference, SIU 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509064946
DOIs	https://doi.org/10.1109/SIU.2017.7960698
Publication status	Published - 27 Jun 2017
Event	25th Signal Processing and Communications Applications Conference, SIU 2017 - Antalya, Turkey Duration: 15 May 2017 → 18 May 2017

Publication series

Name	2017 25th Signal Processing and Communications Applications Conference, SIU 2017

Conference

Conference	25th Signal Processing and Communications Applications Conference, SIU 2017
Country/Territory	Turkey
City	Antalya
Period	15/05/17 → 18/05/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Access to Document

10.1109/SIU.2017.7960698

Cite this

Moazzen, Y., Capar, A., & Toreyin, B. U. (2017). Kromozom Bant Profilinin Alt Piksel Čözünürlüǧünde Čikarma Yöntemi. In 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 Article 7960698 (2017 25th Signal Processing and Communications Applications Conference, SIU 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2017.7960698

@inproceedings{e57456498f27417dbeb995362fc17d9d,

title = "Kromozom Bant Profilinin Alt Piksel {\v C}{\"o}z{\"u}n{\"u}rl{\"u}ǧ{\"u}nde {\v C}ikarma Y{\"o}ntemi",

abstract = "Chromosome classification is the essential task of karyotyping analysis which is videly used for detecting genetic anomalities. Chromosomes' band profiles based feature vectors are used frequently in the classification of them. Extracting of band profiles specially in the bent parts of chromosome may be lossy. In this study, an special sub-pixel resolution based method for lossless exctraction of chromosomes' band profile is proposed. This method models the skeleton of chromosomes as piece-wise linear equations using normal lines to the chromosome boundary. Based on the obtained model, extracting of band profiles is done by forming the skeleton normal lines in the sub-pixel resolution. For evaluation the accuracy of band profile extraction, a measure defined as 'Percent of Band Profile Loss' demonstrates the proposed method as an alternative method which results to lossless chromosome band profile extraction.",

keywords = "Band profile extraction, Chromosome classificaiton, Chromosome skeleton, Chromozome, Karyotyping",

author = "Yaser Moazzen and Abdulkerim Capar and Toreyin, {Behcet Ugur}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 25th Signal Processing and Communications Applications Conference, SIU 2017 ; Conference date: 15-05-2017 Through 18-05-2017",

year = "2017",

month = jun,

day = "27",

doi = "10.1109/SIU.2017.7960698",

language = "T{\"u}rk{\c c}e",

series = "2017 25th Signal Processing and Communications Applications Conference, SIU 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2017 25th Signal Processing and Communications Applications Conference, SIU 2017",

address = "United States",

}

Moazzen, Y, Capar, A & Toreyin, BU 2017, Kromozom Bant Profilinin Alt Piksel Čözünürlüǧünde Čikarma Yöntemi. in 2017 25th Signal Processing and Communications Applications Conference, SIU 2017., 7960698, 2017 25th Signal Processing and Communications Applications Conference, SIU 2017, Institute of Electrical and Electronics Engineers Inc., 25th Signal Processing and Communications Applications Conference, SIU 2017, Antalya, Turkey, 15/05/17. https://doi.org/10.1109/SIU.2017.7960698

Kromozom Bant Profilinin Alt Piksel Čözünürlüǧünde Čikarma Yöntemi. / Moazzen, Yaser; Capar, Abdulkerim ; Toreyin, Behcet Ugur.
2017 25th Signal Processing and Communications Applications Conference, SIU 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7960698 (2017 25th Signal Processing and Communications Applications Conference, SIU 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Kromozom Bant Profilinin Alt Piksel Čözünürlüǧünde Čikarma Yöntemi

AU - Moazzen, Yaser

AU - Capar, Abdulkerim

AU - Toreyin, Behcet Ugur

PY - 2017/6/27

Y1 - 2017/6/27

N2 - Chromosome classification is the essential task of karyotyping analysis which is videly used for detecting genetic anomalities. Chromosomes' band profiles based feature vectors are used frequently in the classification of them. Extracting of band profiles specially in the bent parts of chromosome may be lossy. In this study, an special sub-pixel resolution based method for lossless exctraction of chromosomes' band profile is proposed. This method models the skeleton of chromosomes as piece-wise linear equations using normal lines to the chromosome boundary. Based on the obtained model, extracting of band profiles is done by forming the skeleton normal lines in the sub-pixel resolution. For evaluation the accuracy of band profile extraction, a measure defined as 'Percent of Band Profile Loss' demonstrates the proposed method as an alternative method which results to lossless chromosome band profile extraction.

AB - Chromosome classification is the essential task of karyotyping analysis which is videly used for detecting genetic anomalities. Chromosomes' band profiles based feature vectors are used frequently in the classification of them. Extracting of band profiles specially in the bent parts of chromosome may be lossy. In this study, an special sub-pixel resolution based method for lossless exctraction of chromosomes' band profile is proposed. This method models the skeleton of chromosomes as piece-wise linear equations using normal lines to the chromosome boundary. Based on the obtained model, extracting of band profiles is done by forming the skeleton normal lines in the sub-pixel resolution. For evaluation the accuracy of band profile extraction, a measure defined as 'Percent of Band Profile Loss' demonstrates the proposed method as an alternative method which results to lossless chromosome band profile extraction.

KW - Band profile extraction

KW - Chromosome classificaiton

KW - Chromosome skeleton

KW - Chromozome

KW - Karyotyping

UR - http://www.scopus.com/inward/record.url?scp=85026321029&partnerID=8YFLogxK

U2 - 10.1109/SIU.2017.7960698

DO - 10.1109/SIU.2017.7960698

M3 - Konferans katkısı

AN - SCOPUS:85026321029

T3 - 2017 25th Signal Processing and Communications Applications Conference, SIU 2017

BT - 2017 25th Signal Processing and Communications Applications Conference, SIU 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 25th Signal Processing and Communications Applications Conference, SIU 2017

Y2 - 15 May 2017 through 18 May 2017

ER -

Moazzen Y, Capar A , Toreyin BU. Kromozom Bant Profilinin Alt Piksel Čözünürlüǧünde Čikarma Yöntemi. In 2017 25th Signal Processing and Communications Applications Conference, SIU 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7960698. (2017 25th Signal Processing and Communications Applications Conference, SIU 2017). doi: 10.1109/SIU.2017.7960698

Kromozom Bant Profilinin Alt Piksel Čözünürlüǧünde Čikarma Yöntemi

Abstract

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