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

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dc.contributor.authorAl-Jumaili, Saif
dc.contributor.authorAl-Jumaili, Ahmed
dc.contributor.authorAlyassri, Salam
dc.contributor.authorDuru, Adil Deniz
dc.contributor.authorUçan, Osman Nuri
dc.date.accessioned2022-12-23T10:29:34Z
dc.date.available2022-12-23T10:29:34Z
dc.date.issued2022en_US
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalıen_US
dc.description.abstractDeep 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).en_US
dc.identifier.citationAl-jumaili, S., Al-jumaili, A., Alyassri, S., Duru, A. D., Uçan, O. N. (2022). Recent advances on convolutional architectures in medical applications: classical or quantum. In 2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (pp. 800-805). IEEE.en_US
dc.identifier.endpage805en_US
dc.identifier.isbn9781665470131
dc.identifier.scopus2-s2.0-85142832734
dc.identifier.scopusqualityN/A
dc.identifier.startpage800en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/3142
dc.indekslendigikaynakScopus
dc.institutionauthorAl-Jumaili, Saif
dc.institutionauthorAlyassri, Salam
dc.institutionauthorUçan, Osman Nuri
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofISMSIT 2022 - 6th International Symposium on Multidisciplinary Studies and Innovative Technologies, Proceedings
dc.relation.isversionof10.1109/ISMSIT56059.2022.9932857en_US
dc.relation.publicationcategoryKonferans Öğesi - Ulusal - İdari Personel ve Öğrencien_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectClassificationen_US
dc.subjectConvolutional Neural Networksen_US
dc.subjectDeep learningen_US
dc.subjectMedical imagesen_US
dc.subjectQuantum Convolutional Neural Networksen_US
dc.titleRecent advances on convolutional architectures in medical applications: classical or quantum
dc.typeConference Object

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