scholarly journals Objective method of comparing DNA microarray image analysis systems

BioTechniques ◽  
2004 ◽  
Vol 36 (6) ◽  
pp. 960-967 ◽  
Author(s):  
Edward L. Korn ◽  
Jens K. Habermann ◽  
Madhvi B. Upender ◽  
Thomas Ried ◽  
Lisa M. McShane
Keyword(s):  
Image Analysis ◽  
Dna Microarray ◽  
Objective Method ◽  
Microarray Image

Robust DNA microarray image analysis

2003 ◽  
Vol 15 (1) ◽  
pp. 11-28 ◽  
Author(s):  
Norbert Br�ndle ◽  
Horst Bischof ◽  
Hilmar Lapp
Keyword(s):  
Image Analysis ◽  
Dna Microarray ◽  
Microarray Image

scholarly journals DNA Microarray Image Segmentation Using Markov Random Field Algorithm

2021 ◽  
Vol 2071 (1) ◽  
pp. 012032
Author(s):  
K A Mat Said ◽  
A B Jambek
Keyword(s):  
Image Analysis ◽  
Image Segmentation ◽  
Random Field ◽  
Dna Microarray ◽  
Markov Random Field ◽  
Deoxyribonucleic Acid ◽  
Experimental Results ◽  
Microarray Image ◽  
Markov Random ◽  
Stage Process

Abstract A deoxyribonucleic acid (DNA) microarray image requires a three-stage process to enhance and preserve the image’s important information. These are gridding, segmentation, and intensity extraction. Of these three processes, segmentation is considered the most difficult, as its function is to differentiate between features in the foreground and background. The elements in the foreground form the object or the vital information of the image, while the background features less critical information for DNA microarray image analysis. This paper presents a study that utilises the Markov random field (MRF) segmentation algorithm on a DNA microarray image. The MRF algorithm evaluates the current pixel depends on its neighbouring pixels. The experimental results show that the MRF algorithm works effectively in the segmentation process for a DNA microarray image.

scholarly journals Combinatorial image analysis of DNA microarray features

2003 ◽  
Vol 19 (2) ◽  
pp. 194-203 ◽  
Author(s):  
C.A. Glasbey ◽  
P. Ghazal
Keyword(s):  
Image Analysis ◽  
Dna Microarray

Complementary DNA Microarray Image Processing Based on the Fuzzy Gaussian Mixture Model

2009 ◽  
Vol 13 (4) ◽  
pp. 419-425 ◽  
Author(s):  
E.I. Athanasiadis ◽  
D.A. Cavouras ◽  
P.P. Spyridonos ◽  
D.T. Glotsos ◽  
I.K. Kalatzis ◽  
...  
Keyword(s):  
Image Processing ◽  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Dna Microarray ◽  
Gaussian Mixture ◽  
Complementary Dna ◽  
Microarray Image ◽  
Microarray Image Processing
Sign in / Sign up

Export Citation Format

Share Document