Segmentation of MR images by using grow and learn network on FPGAs

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dc.contributor.authorCinar, Salim
dc.contributor.authorKurnaz, Mehmet Nadir
dc.date.accessioned2024-11-07T10:39:28Z
dc.date.available2024-11-07T10:39:28Z
dc.date.issued2013
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 -- 3 July 2013 through 7 July 2013 -- Osaka -- 100170
dc.description.abstractImage segmentation is one of the mostly used procedures in the medical image processing applications. Due to the high resolution characteristics of the medical images and a large amount of computational load in mathematical methods, medical image segmentation process has an excessive computational complexity. Recently, FPGA implementation has been applied in many areas due to its parallel processing capability. In this study, neighbor-pixel-intensity based method for feature extraction and Grow and Learn (GAL) network for segmentation process are proposed. The proposed method is comparatively examined on both PC and FPGA platforms. © 2013 IEEE.
dc.identifier.doi10.1109/EMBC.2013.6610439
dc.identifier.endpage4073
dc.identifier.isbn978-145770216-7
dc.identifier.issn1557-170X
dc.identifier.pmid24110626
dc.identifier.scopus2-s2.0-84886457836
dc.identifier.scopusqualityN/A
dc.identifier.startpage4070
dc.identifier.urihttps://doi.org/10.1109/EMBC.2013.6610439
dc.identifier.urihttps://hdl.handle.net/11480/10984
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.relation.ispartofProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241106
dc.subjectAlgorithms
dc.subjectComputer Simulation
dc.subjectElectronics
dc.subjectHumans
dc.subjectImage Processing, Computer-Assisted
dc.subjectMagnetic Resonance Imaging
dc.subjectSoftware
dc.subjectFeature extraction
dc.subjectImage processing
dc.subjectMagnetic resonance imaging
dc.subjectMedical image processing
dc.subjectComputational loads
dc.subjectFPGA implementations
dc.subjectFpga platforms
dc.subjectHigh resolution
dc.subjectImage processing applications
dc.subjectMathematical method
dc.subjectParallel processing
dc.subjectSegmentation process
dc.subjectalgorithm
dc.subjectcomputer program
dc.subjectcomputer simulation
dc.subjectelectronics
dc.subjecthuman
dc.subjectimage processing
dc.subjectnuclear magnetic resonance imaging
dc.subjectprocedures
dc.subjectField programmable gate arrays (FPGA)
dc.titleSegmentation of MR images by using grow and learn network on FPGAs
dc.typeConference Object

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