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