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A validated active contour method driven by parabolic arc model for detection and segmentation of mitochondria

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dc.contributor.author Taşel, Faris Serdar
dc.contributor.author Mumcuoğlu, Erkan U.
dc.contributor.author Hassanpour, Reza
dc.contributor.author Perkins, Guy
dc.date.accessioned 2020-04-16T21:22:06Z
dc.date.available 2020-04-16T21:22:06Z
dc.date.issued 2016-06
dc.identifier.citation Tasel, Serdar F...et al., "A validated active contour method driven by parabolic arc model for detection and segmentation of mitochondria", Journal of Structural Biology, Vol. 194, No. 3, pp. 253-271, (2016). tr_TR
dc.identifier.issn 1047-8477
dc.identifier.issn 1095-8657
dc.identifier.uri http://hdl.handle.net/20.500.12416/3264
dc.description.abstract Recent studies reveal that mitochondria take substantial responsibility in cellular functions that are closely related to aging diseases caused by degeneration of neurons. These studies emphasize that the membrane and crista morphology of a mitochondrion should receive attention in order to investigate the link between mitochondria] function and its physical structure. Electron microscope tomography (EMT) allows analysis of the inner structures of mitochondria by providing highly detailed visual data from large volumes. Computerized segmentation of mitochondria with minimum manual effort is essential to accelerate the study of mitochondrial structure/function relationships. In this work, we improved and extended our previous attempts to detect and segment mitochondria from transmission electron microcopy (TEM) images. A parabolic arc model was utilized to extract membrane structures. Then, curve energy based active contours were employed to obtain roughly outlined candidate mitochondrial regions. Finally, a validation process was applied to obtain the final segmentation data. 3D extension of the algorithm is also presented in this paper. Our method achieved an average F-score performance of 0.84. Average Dice Similarity Coefficient and boundary error were measured as 0.87 and 14 nm respectively. (C) 2016 Elsevier Inc. All rights reserved. tr_TR
dc.language.iso eng tr_TR
dc.publisher Academic Press INC Elsevier Science tr_TR
dc.relation.isversionof 10.1016/j.jsb.2016.03.002 tr_TR
dc.rights info:eu-repo/semantics/openAccess tr_TR
dc.subject Image Processing tr_TR
dc.subject Electron Tomography tr_TR
dc.subject Curve Fitting tr_TR
dc.subject Active Contour tr_TR
dc.subject Mitochondrion tr_TR
dc.title A validated active contour method driven by parabolic arc model for detection and segmentation of mitochondria tr_TR
dc.type article tr_TR
dc.relation.journal Journal of Structural Biology tr_TR
dc.identifier.volume 194 tr_TR
dc.identifier.issue 3 tr_TR
dc.identifier.startpage 253 tr_TR
dc.identifier.endpage 271 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü tr_TR


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