@inproceedings{0f8892af4fa946fb9749b8283ce24cb2,
title = "Microarray image de-noising using stationary wavelet transform",
abstract = "Presents a stationary wavelet transform (SWT) method to de-noise microarray images. It is well known that SWT is time invariant. Hence it is particularly important in statistical signal processing applications, such as signal detection and de-noising. The testing result on a sample microarray image has shown that a clear and a better resolution image is obtained using this method.",
keywords = "denoising, microarray, stationary wavelet transform",
author = "Wang, {X. H.} and Istepanian, {R. S.H.} and Song, {Y. H.}",
note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; 4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine 2003, ITAB 2003 ; Conference date: 24-04-2003 Through 26-04-2003",
year = "2003",
doi = "10.1109/ITAB.2003.1222405",
language = "English",
series = "Proceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "15--18",
booktitle = "Conference Proceedings - 4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine 2003",
}