DocumentCode :
2095849
Title :
A Precise and Automatic Gridding Approach to Noise-Affected and Distorted Microarray Images
Author :
Zacharia, Eleni ; Maroulis, Dimitris
Author_Institution :
Dept. of Inf. & Telecommun., Athens Univ., Athens
fYear :
2008
fDate :
17-19 June 2008
Firstpage :
605
Lastpage :
607
Abstract :
In this paper, a precise and fully-automatic approach to the determination of the grid alignment (Gridding) on microarray images is presented. The proposed approach is compared to state-of-the-art software programs and techniques. The conducted experiments demonstrate that it is very effective even when it is applied to noisy or distorted images as well as to images containing spots with various intensities.
Keywords :
biology computing; biomedical imaging; computational geometry; image denoising; software engineering; automatic gridding approach; distorted microarray images; grid alignment; noise-affected images; software programs; Automation; Biomedical imaging; Biomedical informatics; Gene expression; Grid computing; Humans; IEEE members; Image segmentation; Software packages; Telecommunication computing; Gridding; Microarrays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Based Medical Systems, 2008. CBMS '08. 21st IEEE International Symposium on
Conference_Location :
Jyvaskyla
ISSN :
1063-7125
Print_ISBN :
978-0-7695-3165-6
Type :
conf
DOI :
10.1109/CBMS.2008.109
Filename :
4562067
Link To Document :
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