Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/10287
Title: Segmentation of complementary DNA microarray images by wavelet-based markov random field model
Authors: Αθανασιάδης, Εμμανουήλ Ι.
Κάβουρας, Διονύσης Α.
Γκλώτσος, Δημήτριος
Γεωργιάδης, Παντελής
Καλατζής, Ιωάννης
Contributors: Νικηφορίδης, Γεώργιος Σ.
Item type: Journal article
Keywords: Algorithms;Wavelets (Mathematics);Αλγόριθμοι;Κυμάτιο
Subjects: Medicine
Biomedical engineering
Ιατρική
Βιοϊατρική τεχνολογία
Issue Date: 13-May-2015
2009
Publisher: IEEE
Abstract: A wavelet-based modification of the Markov random field (WMRF) model is proposed for segmenting complementary DNA (cDNA) microarray images. For evaluation purposes, five simulated and a set of five real microarray images were used. The one-level stationary wavelet transform (SWT) of each microarray image was used to form two images, a denoised image, using hard thresholding filter, and a magnitude image, from the amplitudes of the horizontal and vertical components of SWT. Elements from these two images were suitably combined to form the WMRF model for segmenting spots from their background. The WMRF was compared against the conventional MRF and the Fuzzy C means (FCM) algorithms on simulated and real microarray images and their performances were evaluated by means of the segmentation matching factor (SMF) and the coefficient of determination (r 2). Additionally, the WMRF was compared against the SPOT and SCANALYZE, and performances were evaluated by the mean absolute error (MAE) and the coefficient of variation (CV). The WMRF performed more accurately than the MRF and FCM (SMF: 92.66, 92.15, and 89.22, r 2 : 0.92, 0.90, and 0.84, respectively) and achieved higher reproducibility than the MRF, SPOT, and SCANALYZE (MAE: 497, 1215, 1180, and 503, CV: 0.88, 1.15, 0.93, and 0.90, respectively).
Description: art. no. 5268205
Language: English
Citation: Athanasiadis, E., Cavouras, D., Glotsos, D., Georgiadis, P., Kalatzis, I., et al. (September 2009). Segmentation of complementary DNA microarray images by wavelet-based markov random field model. IEEE Transactions on Information Technology in Biomedicine. 13(6). pp. 1068-1074. IEEE: 2009
Journal: IEEE Transactions on Information Technology in Biomedicine
Type of Journal: With a review process (peer review)
Access scheme: Embargo
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/10287
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