Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/10382
Title: Comparative evaluation of a gaussian mixture models and a seeded region growing techniques for the segmentation of microarray images
Authors: Αθανασιάδης, Εμμανουήλ Ι.
Δασκαλάκης, Αντώνης
Σπυρίδωνος, Παναγιώτα Π.
Γκλώτσος, Δημήτριος
Καλατζής, Ιωάννης
Contributors: Κάβουρας, Διονύσης Α.
Νικηφορίδης, Γεώργιος Σ.
Item type: Conference publication
Conference Item Type: Full Paper
Keywords: Microarray image;Segmentation;Εικόνες μικροσυστοιχιών;Τμηματοποίηση
Subjects: Technology
Biomedical engineering
Τεχνολογία
Βιοϊατρική τεχνολογία
Issue Date: 14-May-2015
2006
Date of availability: 14-May-2015
Abstract: The purpose of the present study was to investigate and compare the segmentation ability of the Gaussian Mixture Models (GMM) against the Seeded Region Growing (SRG) methods in microarray spots segmentation. A simulated microarray image, each containing 200 spots, was produced. An automatic gridding process was developed in MATLAB and it was applied on the images for identifying the centers of spots and their surrounding borders (cells). The GMM, developed in MATLAB and the SRG algorithms, using MAGIC Tool software, were applied to each spot separately for discriminating foreground from background. The segmentation abilities of the GMM and SRG algorithms were evaluated by calculating the segmentation matching factor for each spot. Optimal segmentation results were obtained by the GMM, especially in cases where the spot’s mean intensity value was close to the background. The GMM technique was found to be an accurate algorithm in delineating the boundary of microarray spots and, thus, in discriminating the spot from its surrounding background.
Language: English
Citation: Athanasiadis, E., Daskalakis, A., Spyridonos, P., Glotsos, D., Kalatzis, I., et al. (2006). Comparative evaluation of a gaussian mixture models and a seeded region growing techniques for the segmentation of microarray images. In the 5th European Symposium on Biomedical Engineering. University of Patras, Cultural and Conference Center Patras. Patras, Greece, 7th – 9th July 2006. Available from: http://bme.med.upatras.gr/ESBME2006/CD/5th_ESBME_2006_PDFs/Session_5/Athanasiadis_full%20paper.pdf
Conference: European Symposium on Biomedical Engineering
Access scheme: Publicly accessible
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/10382
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