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07 31 Ocak - 2 Şubat 2007 Kütahya - Akademik Bilişim Konferansları

07 31 Ocak - 2 Şubat 2007 Kütahya - Akademik Bilişim Konferansları

07 31 Ocak - 2 Şubat 2007 Kütahya - Akademik Bilişim Konferansları

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<strong>Akademik</strong> Bilişim’<strong>07</strong> - IX. <strong>Akademik</strong> Bilişim Konferansı Bildirileri<strong>31</strong> <strong>Ocak</strong> - 2 Şubat 20<strong>07</strong> Dumlupınar Üniversitesi, Kütahya[4]. J. Folkesson, E. B. Dam, O. F. Olsen, P.Pettersen, and C. Christiansen, “Automaticsegmentation of the articular cartilage inknee MRI using a hierarchical multiclassclassification scheme,” in Proceedings ofMICCAI 2005, 2005.[5]. C. Kaufmann, P. Gravel, B. Godbout, A.Gravel, G. Beaudoin, J. Raynauld, J. Martel-Pelletier, J. Pel letier, and J. A. de Guise,“Computer aided, method for quantificationof cartilage thickness and volume changesusing MRI: Validation study using a syntheticmodel,” IEEE Transactions on Biomedical Engineering50(8), pp. 978–988, 2003.[6]. S. K. Pakin, J. G. Tamez Pena, S. Totterman,and K. Parker, “Segmentation, surface extraction,and thickness computation of articularcartilage,” in Medical Imaging: Image Processing,Proc. SPIE 4684, pp. 155–166, 2002.[7]. J. Alexander and T. P. Andriacchi, “A modelbased approach for excient segmentation ofknee cartilage from MR image data,” ASMEBioeng Div Publ BED 51, pp. 105–106, 2001.[8]. Opr.Dr. Mehmet DEMİRAYAK, Ortopedive Travmatoloji uzmanı, Konya Vakıf Hastanesi,sayı : 2<strong>07</strong>[9]. Benjamin Kimia, PhD, and Glenn Tung,MD, Segmentation of Articular Cartilage fromMagnetic Resonance Images using Live-WireShann, Telesco Department of EngineeringBrown University[10]. OTSU, N. 1979: A thresholding selectionmethod for grey-level histograms. IEEE TransSystems, Man and Cybernetics SMC-9(1): 62-66.375

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