An efficient clahe-based, spot-adaptive, image segmentation technique for improving microarray genes' quantification

dc.contributor.author	Δασκαλάκης, Αντώνης	el
dc.contributor.author	Κάβουρας, Διονύσης Α.	el
dc.contributor.author	Μπουγιούκος, Παναγιώτης	el
dc.contributor.author	Κωστόπουλος, Σπυρίδων	el
dc.contributor.author	Γεωργιάδης, Παντελής	el
dc.date.accessioned	2015-05-14T17:03:35Z
dc.date.available	2015-05-14T17:03:35Z
dc.date.issued	2015-05-14
dc.identifier.uri	http://hdl.handle.net/11400/10401
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/DASKALAKIS_2007_EpsMsO_An%20Efficient%20CLAHE.pdf	en
dc.subject	Microarrays
dc.subject	Segmentation
dc.subject	Μικροσυστοιχίες
dc.subject	Κατάτμηση
dc.title	An efficient clahe-based, spot-adaptive, image segmentation technique for improving microarray genes' quantification	en
heal.type	conferenceItem
heal.classification	Medicine
heal.classification	Biomedical engineering
heal.classification	Ιατρική
heal.classification	Βιοϊατρική τεχνολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85014237
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Βιοϊατρική τεχνολογία
heal.contributorName	Καλατζής, Ιωάννης	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	2007
heal.bibliographicCitation	Daskalakis, A., Cavouras, D., Bougioukos, P., Kostopoulos, S., Georgiadis, P., et al. (2007). An efficient clahe-based, spot-adaptive, image segmentation technique for improving microarray genes' quantification. In the 2nd International Conference on Experiments/ Process/ System Modelling/ Simulation/ Optimization (2nd IC-EpsMso). Greece, Athens, 4th-7th July 2007. Available from: http://www.bme.teiath.gr/medisp/pdfs/DASKALAKIS_2007_EpsMsO_An%20Efficient%20CLAHE.pdf	en
heal.abstract	An efficient spot-adaptive segmentation technique was developed by suitable combining in a cascade mode the benefits of image enhancement (Contrast Limited Adaptive Histogram Equalization technique (CLAHE)) and image segmentation (Seeded Region Growing technique (SRG)) in order to improve genes’ quantification in microarray images. Microarrays utilized for evaluation purposes comprised 7 publicly available images. Initially, an image griding algorithm was employed to divide the image into rectangular image-cells. Subsequently, CLAHE was applied on each individual image-cell, initial SRG-seed was set at the image-cell’s center, and SRG-threshold was estimated from the image-cell’s background. The spot’s boundary was referred to the corresponding cell spot in the original image and the spot’s intensity was evaluated. Extracted intensities were comparatively evaluated against a well-established commercial software package (MAGIC TOOL) employing the Jeffrey’s divergence-metric. The metric of the spot-adaptive segmentation technique was about double as compared to MAGIC TOOL’s metric, with differences ranging between 1.23 and 5.21 in the processed images. Regarding processing time, the proposed method required half the time of MAGIC TOOL’s (211 secs against 487 secs) to process the same cDNA image on the same computer.	en
heal.fullTextAvailability	true
heal.conferenceName	International Conference on Experiments/ Process/ System Modelling/ Simulation/ Optimization	en
heal.conferenceItemType	full paper