Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/10389
Title: Segmentation of complementary dna microarray images using the fuzzy gaussian mixture model technique
Authors: Αθανασιάδης, Εμμανουήλ Ι.
Κάβουρας, Διονύσης Α.
Σπυρίδωνος, Παναγιώτα Π.
Γκλώτσος, Δημήτριος
Καλατζής, Ιωάννης
Contributors: Νικηφορίδης, Γεώργιος Χ.
Item type: Conference publication
Conference Item Type: Full Paper
Keywords: Segmentation;Microarray image;Κατάτμηση;Εικόνες μικροσυστοιχιών
Subjects: Technology
Biomedical engineering
Τεχνολογία
Βιοϊατρική τεχνολογία
Issue Date: 14-May-2015
2006
Date of availability: 14-May-2015
Abstract: The objective of this work was to investigate the segmentation ability of the Fuzzy Gaussian Mixture Models (FGMM) clustering algorithm, applied on complementary DNA (cDNA) images. A Simulated Microarray image of 200 cells, each containing one spot, was produced following standard established procedure. An automatic gridding process was developed and applied on the microarray image for the task of locating spot borders and surrounding background in each cell. The FGMM and the Gaussian Mixture Model (GMM) algorithms were applied to each cell, with the purpose of discriminating foreground from background. The segmentation abilities of both algorithms were evaluated by means of the segmentation matching factor in respect to the actual classes (foreground-background pixels) of the simulated spots. The FGMM was found to perform better and with equal processing time, as compared to the GMM, rendering the FGMM algorithm an efficient alternative for segmenting cDNA microarray images.
Description: Proceedings
Language: English
Citation: Athanasiadis, E., Cavouras, D., Spyridonos, P., Glotsos, D., Kalatzis, I., et al. (2006). Segmentation of complementary dna microarray images using the fuzzy gaussian mixture model technique. Proceedings of the International Special Topic Conference on Information Technology in Biomedicine (ITAB 2006). Ioannina, 26th-28th October 2006. Available from: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.130.7897&rep=rep1&type=pdf
Conference: International Special Topic Conference on Information Technology in Biomedicine
Access scheme: Publicly accessible
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/10389
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