Segmentation of microarray images using gaussian mixture models and wavelet based preprocessing filters

dc.contributor.author	Αθανασιάδης, Εμμανουήλ Ι.	el
dc.contributor.author	Σπυρίδωνος, Παναγιώτα Π.	el
dc.contributor.author	Δασκαλάκης, Αντώνης	el
dc.contributor.author	Γκλώτσος, Δημήτριος	el
dc.contributor.author	Κωστόπουλος, Σπυρίδων	el
dc.date.accessioned	2015-05-14T15:26:29Z
dc.date.available	2015-05-14T15:26:29Z
dc.date.issued	2015-05-14
dc.identifier.uri	http://hdl.handle.net/11400/10374
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://www.bme.teiath.gr/medisp/pdfs/ATHANASSIADIS_2006_SCCE_Segmentation%20Of%20Microarray%20Images.pdf	en
dc.subject	Microarray
dc.subject	Wavelets (Mathematics)
dc.subject	Μικροσυστοιχίες
dc.subject	Κυμάτιο
dc.title	Segmentation of microarray images using gaussian mixture models and wavelet based preprocessing filters	en
heal.type	conferenceItem
heal.classification	Technology
heal.classification	Biomedical engineering
heal.classification	Τεχνολογία
heal.classification	Βιοϊατρική τεχνολογία
heal.classificationURI	http://zbw.eu/stw/descriptor/10470-6
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85014237
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Βιοϊατρική τεχνολογία
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh91006163
heal.contributorName	Καλατζής, Ιωάννης	el
heal.contributorName	Κάβουρας, Διονύσης Α.	el
heal.contributorName	Νικηφορίδης, Γεώργιος Σ.	el
heal.language	en
heal.access	free
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2006
heal.bibliographicCitation	Athanasiadis, E., Spyridonos, P., Daskalakis, A., Glotsos, D., Kostopoulos, S., et al. (2006). Segmentation of microarray images using gaussian mixture models and wavelet based preprocessing filters. In the 2nd International Conference "From Scientific Computing to Computational Engineering" (2nd IC-SCCE 2006). Athens, 5th – 8th July, 2006. Available from: http://www.bme.teiath.gr/medisp/pdfs/ATHANASSIADIS_2006_SCCE_Segmentation%20Of%20Microarray%20Images.pdf	en
heal.abstract	The objective of this work was to investigate the segmentation capability of Gaussian Mixture Models (GMMs) on microarray images, using wavelet based image enhancement techniques. A Simulated Microarray image of 200 spots was produced using a Microarray Scan Simulator. The image was pre-processed using 3 different daub4 wavelet based filters, developed in MATLAB. The detail coefficients of the wavelet transform were processed up to scale 3 using Hard, Soft and Sigmoidal Thresholding. An automatic gridding process was developed and applied on the preprocessed microarray image with the purpose of identifying the spots. The GMMs algorithm was then applied to each spot in order to discriminate foreground from background. The segmentation capability of the GMMs was evaluated by calculating the segmentation matching factor for each spot. Optimal segmentation results were obtained by pre-processing the microarray image by all the waveletbased filters. Wavelet based preprocessing was found to improve the GMMs segmentability, in discriminating the spot’s foreground from background.	en
heal.fullTextAvailability	true
heal.conferenceName	International Conference "From Scientific Computing to Computational Engineering"	en
heal.conferenceItemType	full paper