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Recent advances on convolutional architectures in medical applications: classical or quantum

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dc.contributor.authorDURU, ADİL DENİZ
dc.contributor.authorsAl-Jumaili S., Al-Jumaili A., Alyassri S., DURU A. D., Ucan O. N.
dc.date.accessioned2022-12-27T13:28:20Z
dc.date.accessioned2026-01-11T11:17:13Z
dc.date.available2022-12-27T13:28:20Z
dc.date.issued2022-01-01
dc.description.abstract© 2022 IEEE.Deep learning is one of the most significant advances in AI (AI). It is used in a variety of fields due to it has the ability to solve problems that cannot be handled by traditional technologies. The optimization of deep learning relevant to medical images is one of the most important recent advances in image analysis. Several developments have been done on Convolutional Neural Networks to achieve optimal accuracy and increase the learning speed. However, in this paper, we discuss the most recent innovations in convolutional neural networks within Classical method and Quantum method. We briefly provide a snapshot about the architecture, improvements, and principles of both (Classical and Quantum).
dc.identifier.citationAl-Jumaili S., Al-Jumaili A., Alyassri S., DURU A. D., Ucan O. N., \"Recent Advances on Convolutional Architectures in Medical Applications: Classical or Quantum\", 6th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2022, Ankara, Türkiye, 20 - 22 Ekim 2022, ss.800-805
dc.identifier.doi10.1109/ismsit56059.2022.9932857
dc.identifier.endpage805
dc.identifier.startpage800
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85142832734&origin=inward
dc.identifier.urihttps://hdl.handle.net/11424/284258
dc.language.isoeng
dc.relation.ispartof6th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2022
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectSosyal ve Beşeri Bilimler
dc.subjectSosyoloji
dc.subjectKütüphanecilik
dc.subjectTarımsal Bilimler
dc.subjectZiraat
dc.subjectTarım Makineleri
dc.subjectTarımda Enerji
dc.subjectBiyoyakıt Teknolojisi
dc.subjectBilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği
dc.subjectKontrol ve Sistem Mühendisliği
dc.subjectBilgisayar Bilimleri
dc.subjectAlgoritmalar
dc.subjectİnşaat Mühendisliği
dc.subjectMühendislik ve Teknoloji
dc.subjectSocial Sciences and Humanities
dc.subjectSociology
dc.subjectLibrary Sciences
dc.subjectAgricultural Sciences
dc.subjectAgriculture
dc.subjectFarm Machinery
dc.subjectEnergy in Agriculture
dc.subjectBiofuels Technology
dc.subjectInformation Systems, Communication and Control Engineering
dc.subjectControl and System Engineering
dc.subjectComputer Sciences
dc.subjectalgorithms
dc.subjectCivil Engineering
dc.subjectEngineering and Technology
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectSosyal Bilimler (SOC)
dc.subjectBilgisayar Bilimi
dc.subjectMühendislik
dc.subjectSosyal Bilimler Genel
dc.subjectOTOMASYON & KONTROL SİSTEMLERİ
dc.subjectBİLGİSAYAR BİLİMİ, YAPAY ZEKA
dc.subjectTELEKOMÜNİKASYON
dc.subjectENERJİ VE YAKITLAR
dc.subjectBİLGİ BİLİMİ VE KÜTÜPHANE BİLİMİ
dc.subjectMÜHENDİSLİK, İNŞAAT
dc.subjectEngineering, Computing & Technology (ENG)
dc.subjectSocial Sciences (SOC)
dc.subjectCOMPUTER SCIENCE
dc.subjectENGINEERING
dc.subjectSOCIAL SCIENCES, GENERAL
dc.subjectAUTOMATION & CONTROL SYSTEMS
dc.subjectCOMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
dc.subjectTELECOMMUNICATIONS
dc.subjectENERGY & FUELS
dc.subjectINFORMATION SCIENCE & LIBRARY SCIENCE
dc.subjectENGINEERING, CIVIL
dc.subjectYapay Zeka
dc.subjectFizik Bilimleri
dc.subjectBilgisayar Ağları ve İletişim
dc.subjectBilgisayar Bilimi Uygulamaları
dc.subjectBilgi Sistemleri ve Yönetimi
dc.subjectSosyal Bilimler ve Beşeri Bilimler
dc.subjectYenilenebilir Enerji, Sürdürülebilirlik ve Çevre
dc.subjectİnşaat ve Yapı Mühendisliği
dc.subjectKontrol ve Optimizasyon
dc.subjectArtificial Intelligence
dc.subjectPhysical Sciences
dc.subjectComputer Networks and Communications
dc.subjectComputer Science Applications
dc.subjectInformation Systems and Management
dc.subjectSocial Sciences & Humanities
dc.subjectRenewable Energy, Sustainability and the Environment
dc.subjectCivil and Structural Engineering
dc.subjectControl and Optimization
dc.subjectClassification
dc.subjectConvolutional Neural Networks
dc.subjectDeep learning
dc.subjectMedical images
dc.subjectQuantum Convolutional Neural Networks
dc.subject—Quantum Convolutional Neural Networks
dc.subjectConvolutional Neural Networks
dc.subjectClassification
dc.subjectMedical images
dc.subjectDeep learning
dc.titleRecent advances on convolutional architectures in medical applications: classical or quantum
dc.typeconferenceObject
dspace.entity.typePublication

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