Sperm morphology analysis with CNN based algorithms

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dc.authorid0000-0003-1282-0340
dc.authorid0000-0003-3377-2560
dc.authorid0000-0001-8590-1518
dc.contributor.authorŞavkay, Osman Leventen_US
dc.contributor.authorCesur, Evrenen_US
dc.contributor.authorYalçın, Müştak Erhanen_US
dc.contributor.authorTavşanoğlu, Ahmet Vedaten_US
dc.date.accessioned2021-06-16T09:23:34Z
dc.date.available2021-06-16T09:23:34Z
dc.date.issued2014-08-29
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Electrical-Electronics Engineeringen_US
dc.description.abstractIn this paper Morphological Analysis part of our proposed computer-aided sperm analysis system (CASA) is simulated and the results beside the algorithm steps are presented. The morphology analysis is simply dealing with shape of the sperms and extracting the shape characteristics in medical parameters. The characteristics are obtained by image processing algorithms which utilizes Cellular Nanoscale Network (CNN) based and spatial image processing blocks. The following calculation of medical parameters are obtained from the outputs of image processing blocks. The algorithm is so designed to adapt the final SoC architecture such as Xilinx Zynq7000 device.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationŞavkay, O. L., Cesur, E., Yalçın, M. E. & Tavşanoğlu, A. V. (2014). Sperm morphology analysis with CNN based algorithms. Paper presented at the 14th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA), 1-2. doi:10.1109/CNNA.2014.6888647en_US
dc.identifier.endpage2
dc.identifier.isbn9781479960071
dc.identifier.issn2165-0152
dc.identifier.issn2165-0144
dc.identifier.scopus2-s2.0-84907743165
dc.identifier.scopusqualityN/A
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/11729/3155
dc.identifier.urihttp://dx.doi.org/10.1109/CNNA.2014.6888647
dc.identifier.wosWOS:000346574800057
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakConference Proceedings Citation Index – Science (CPCI-S)en_US
dc.institutionauthorTavşanoğlu, Ahmet Vedaten_US
dc.institutionauthorid0000-0001-8590-1518
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherIEEE Computer Societyen_US
dc.relation.isversionof10.1109/CNNA.2014.6888647
dc.relation.journal14th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMorphology analysisen_US
dc.subjectMorphologyen_US
dc.subjectHeaden_US
dc.subjectImage processingen_US
dc.subjectAlgorithm design and analysisen_US
dc.subjectBiomedical imagingen_US
dc.subjectComputer architectureen_US
dc.subjectShapeen_US
dc.subjectCellular biophysicsen_US
dc.subjectComputer aided analysisen_US
dc.subjectMedical image processingen_US
dc.subjectSystem-on-chipen_US
dc.subjectSperm morphology analysisen_US
dc.subjectCNN based algorithmsen_US
dc.subjectComputer-aided sperm analysis systemen_US
dc.subjectCASAen_US
dc.subjectAlgorithm stepsen_US
dc.subjectSperm shapeen_US
dc.subjectShape characteristicsen_US
dc.subjectMedical parametersen_US
dc.subjectImage processing algorithmsen_US
dc.subjectCellular Nanoscale Networken_US
dc.subjectSpatial image processing blocksen_US
dc.subjectSoC architectureen_US
dc.titleSperm morphology analysis with CNN based algorithmsen_US
dc.typeConference Objecten_US

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