Classification of Attention Deficit Hyperactivity Disorder (ADHD) by Using Statistical Features of Mr Images

dc.contributor.author Cicek, G.
dc.contributor.author Akan, A.
dc.date.accessioned 2025-08-25T16:58:38Z
dc.date.available 2025-08-25T16:58:38Z
dc.date.issued 2020
dc.description.abstract The aim of this study is to minimize the human effort in the diagnosis of ADHD, and to develop an objective and reliable tool that can help physicians. Towards this direction, a model has been proposed by utilizing MRI data obtained from NPIstanbul Hospital. © IOP Publishing Ltd 2020. en_US
dc.identifier.doi 10.1088/978-0-7503-1822-8ch3
dc.identifier.isbn 9780750340977
dc.identifier.isbn 9780750317993
dc.identifier.scopus 2-s2.0-105012799499
dc.identifier.uri https://doi.org/10.1088/978-0-7503-1822-8ch3
dc.identifier.uri https://hdl.handle.net/20.500.14365/6370
dc.language.iso en en_US
dc.publisher Institute of Physics Publishing en_US
dc.relation.ispartof Neurological Disorders and Imaging Physics, Volume 4: Application to Attention Deficit Hyperactivity Disorder en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.title Classification of Attention Deficit Hyperactivity Disorder (ADHD) by Using Statistical Features of Mr Images en_US
dc.type Book Part en_US
dspace.entity.type Publication
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gdc.description.department İzmir Ekonomi Üniversitesi en_US
gdc.description.departmenttemp [Cicek G.] Department of Software Engineering, Istanbul University-Cerrah Pasa, Istanbul, Turkey; [Akan A.] Department of Electrical and Electronics Engineering, Izmir University of Economics, Izmir, Turkey en_US
gdc.description.publicationcategory Kitap Bölümü - Uluslararası en_US
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gdc.identifier.openalex W3111674438
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gdc.virtual.author Akan, Aydın
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