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Diagnosis of cardiac problems from SPECT images by feedforward networks

dc.contributor.authorBakirci, Ü
dc.contributor.authorYildirim, T
dc.contributor.institutionauthorYILDIRIM, Tülay
dc.date.accessioned2026-06-27T12:56:27Z
dc.date.issued2004
dc.description.abstractIn this work, the performance of the feedforward networks on myocardial diagnosis using SPECT (Single Photon Emission Computed Tomography) images is investigated. Results of the work shows that feedforward artificial neural networks reached to 100% accuracy on diagnosis while machine learning algorithms achieved maximum 90.4% accuracy up to now.en
dc.description.urihttps://doi.org/10.1109/siu.2004.1338268
dc.identifier.doi10.1109/siu.2004.1338268
dc.identifier.endpage105
dc.identifier.isbn0-7803-8318-4
dc.identifier.startpage103
dc.identifier.urihttps://hdl.handle.net/20.500.14981/47924
dc.identifier.wos000225861200026
dc.language.isotur
dc.publisherIEEE
dc.relation.conferenceIEEE 12th Signal Processing and Communications Applications Conference
dc.relation.ispartofPROCEEDINGS OF THE IEEE 12TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE
dc.subjectComputer Science
dc.subjectEngineering
dc.subjectTelecommunications
dc.titleDiagnosis of cardiac problems from SPECT images by feedforward networks
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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