Covıd-19 Related Pneumonia Severity Score Estimation Using Pre-Trained Deep Convolutional Neural Networks

dc.contributor.authorÖksüz Coşku
dc.contributor.authorUrhan Oğuzhan
dc.contributor.authorGüllü Mehmet Kemal
dc.date.accessioned2024-03-22T20:01:18Z
dc.date.available2024-03-22T20:01:18Z
dc.date.issued2021
dc.identifier.endpage156
dc.identifier.issn2757-9778
dc.identifier.issue2
dc.identifier.startpage156
dc.identifier.urihttp://sagliktayapayzeka2021.org/Yapay%20Zeka%20Kitap.pdf
dc.identifier.urihttps://hdl.handle.net/20.500.12597/22009
dc.identifier.volume1
dc.languageTurkish
dc.relation.conferenceIı. International Artificial Intelligence İn Health Congress 2021
dc.relation.conferencecityİzmir
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectDerin Öğrenme
dc.titleCovıd-19 Related Pneumonia Severity Score Estimation Using Pre-Trained Deep Convolutional Neural Networks
dc.typeConference Proceedings
local.event.enddate18.04.2021
local.event.printdate01.06.2021
local.event.startdate16.04.2021
local.import.id7109502-5577525
local.item.editiontypeElektronik
local.item.presentationstyleSözlü Sunum
local.item.scopeUluslararası
local.item.subjectMühendislik Temel Alanı > Elektrik-Elektronik Mühendisliği > Biyomedikal > İşaret İşleme > Karar Destek Sistemleri > Derin Öğrenme
local.item.typeÖzet Bildiri
local.item.yayinID7109502
local.item.yazarID5577525
local.person.branchMühendislik Ve Mimarlık Fakültesi
person.jobTitleDoktor Öğretim Üyesi

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