Chromosome counting via digital image analysis

Victor Gajendran; Jeffrey J. Rodríguez

Chromosome counting via digital image analysis

Research output: Contribution to journal › Conference article › peer-review

Abstract

Currently, cytogenetic analysis is done using semiautomatic methods, involving substantial human intervention, which is slow and expensive. Chromosome counting is of significant economical importance, for it accelerates the karyotyping process, thereby facilitating quicker and less expensive cytogenetic analysis. In this paper, we present an automated counting algorithm based on digital image analysis. The algorithm was tested on a metaphase image database, with a 6% error rate.

Original language	English (US)
Pages (from-to)	2929-2932
Number of pages	4
Journal	Proceedings - International Conference on Image Processing, ICIP
Volume	2
State	Published - 2004
Event	2004 International Conference on Image Processing, ICIP 2004 - , Singapore Duration: Oct 18 2004 → Oct 21 2004

ASJC Scopus subject areas

General Engineering

Cite this

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title = "Chromosome counting via digital image analysis",

abstract = "Currently, cytogenetic analysis is done using semiautomatic methods, involving substantial human intervention, which is slow and expensive. Chromosome counting is of significant economical importance, for it accelerates the karyotyping process, thereby facilitating quicker and less expensive cytogenetic analysis. In this paper, we present an automated counting algorithm based on digital image analysis. The algorithm was tested on a metaphase image database, with a 6% error rate.",

author = "Victor Gajendran and Rodr{\'i}guez, {Jeffrey J.}",

year = "2004",

language = "English (US)",

volume = "2",

pages = "2929--2932",

journal = "Proceedings - International Conference on Image Processing, ICIP",

issn = "1522-4880",

publisher = "IEEE Computer Society",

note = "2004 International Conference on Image Processing, ICIP 2004 ; Conference date: 18-10-2004 Through 21-10-2004",

}

TY - JOUR

T1 - Chromosome counting via digital image analysis

AU - Gajendran, Victor

AU - Rodríguez, Jeffrey J.

PY - 2004

Y1 - 2004

N2 - Currently, cytogenetic analysis is done using semiautomatic methods, involving substantial human intervention, which is slow and expensive. Chromosome counting is of significant economical importance, for it accelerates the karyotyping process, thereby facilitating quicker and less expensive cytogenetic analysis. In this paper, we present an automated counting algorithm based on digital image analysis. The algorithm was tested on a metaphase image database, with a 6% error rate.

AB - Currently, cytogenetic analysis is done using semiautomatic methods, involving substantial human intervention, which is slow and expensive. Chromosome counting is of significant economical importance, for it accelerates the karyotyping process, thereby facilitating quicker and less expensive cytogenetic analysis. In this paper, we present an automated counting algorithm based on digital image analysis. The algorithm was tested on a metaphase image database, with a 6% error rate.

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M3 - Conference article

SN - 1522-4880

VL - 2

SP - 2929

EP - 2932

JO - Proceedings - International Conference on Image Processing, ICIP

JF - Proceedings - International Conference on Image Processing, ICIP

T2 - 2004 International Conference on Image Processing, ICIP 2004

Y2 - 18 October 2004 through 21 October 2004

ER -

Chromosome counting via digital image analysis

Abstract

ASJC Scopus subject areas

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