Mostrar el registro sencillo del ítem
Improved Automatic Centerline Tracing for Dendritic and Axonal Structures
dc.creator | Jiménez López, David Adrián | |
dc.creator | Labate, Demetrio | |
dc.creator | Kakadiaris, loannis A. | |
dc.creator | Papadakis, Manos | |
dc.date.accessioned | 2018-07-24T13:44:13Z | |
dc.date.available | 2018-07-24T13:44:13Z | |
dc.date.issued | 2015-04 | |
dc.identifier.citation | https://link.springer.com/article/10.1007%2Fs12021-014-9256-z | |
dc.identifier.issn | 1539-2791 | |
dc.identifier.issn | 1559-0089 | |
dc.identifier.uri | https://hdl.handle.net/10669/75259 | |
dc.description.abstract | Centerline tracing in dendritic structures acquired from confocal images of neurons is an essential tool for the construction of geometrical representations of a neuronal network from its coarse scale up to its fine scale structures. In this paper, we propose an algorithm for centerline extraction that is both highly accurate and computationally efficient. The main novelties of the proposed method are (1) the use of a small set of Multiscale Isotropic Laplacian filters, acting as self-steerable filters, for a quick and efficient binary segmentation of dendritic arbors and axons; (2) an automated centerline seed points detection method based on the application of a simple 3D finite-length filter. The performance of this algorithm, which is validated on data from the DIADEM set appears to be very competitive when compared with other state-of-the-art algorithms. | es_ES |
dc.description.sponsorship | National Science Foundation/[1320910]/NSF-DMS/Estados Unidos | es_ES |
dc.description.sponsorship | National Science Foundation/[1008900]/NSF-DMS/Estados Unidos | es_ES |
dc.description.sponsorship | National Science Foundation/[1005799]/NSF-DMS/Estados Unidos | es_ES |
dc.description.sponsorship | Norman Hackerman Advanced Research Program/[003652-0136-2009]/NHARP/Estados Unidos | es_ES |
dc.language.iso | en_US | es_ES |
dc.source | Neuroinformatics,vol.13(2),pp.227-244. | es_ES |
dc.subject | Image processing | es_ES |
dc.subject | Automated neuron tracing | es_ES |
dc.subject | Neuron image segmentation | es_ES |
dc.title | Improved Automatic Centerline Tracing for Dendritic and Axonal Structures | es_ES |
dc.type | artículo original | |
dc.identifier.doi | 10.1007/s12021-014-9256-z | |
dc.description.procedence | UCR::Vicerrectoría de Docencia::Ciencias Básicas::Facultad de Ciencias::Escuela de Matemática | es_ES |
Ficheros en el ítem
Este ítem aparece en la(s) siguiente(s) colección(ones)
-
Matemática [232]