Classification of brain tumor types by deep learning with convolutional neural network on magnetic resonance images using a developed web-based interface

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dc.authorscopusid57211714315
dc.authorscopusid57195636045
dc.authorscopusid11738942300
dc.contributor.authorUcuzal H.
dc.contributor.authorYasar S.
dc.contributor.authorColak C.
dc.date.accessioned2024-08-04T20:04:00Z
dc.date.available2024-08-04T20:04:00Z
dc.date.issued2019
dc.departmentİnönü Üniversitesien_US
dc.description3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 -- 11 October 2019 through 13 October 2019 -- 156063en_US
dc.description.abstractAutomated machine learning (AutoML) algorithms developed using deep learning algorithms have been the focus of interest in many studies recently. This study aims to develop a free web-based software based on deep learning that can be utilized in the diagnosis and detection of brain tumors (Glioma/Meningioma/Pituitary) on T1-weighted magnetic resonance imaging. The Keras library, which is used in Python programming language, is utilized in the construction of the deep learning algorithm in this software. The experimental results show that this software can be used for the detection and diagnosis of three types of brain tumors. This developed web-based software can be publicly available at http://biostatapps.inonu.edu.tr/BTSY/ in both English and Turkish. © 2019 IEEE.en_US
dc.identifier.doi10.1109/ISMSIT.2019.8932761
dc.identifier.isbn9781728137896
dc.identifier.scopus2-s2.0-85078043017en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/ISMSIT.2019.8932761
dc.identifier.urihttps://hdl.handle.net/11616/92251
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 - Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectbrain tumorsen_US
dc.subjectclassification tasken_US
dc.subjectdeep-learning strategyen_US
dc.subjectKerasen_US
dc.subjectmagnetic resonance imagingen_US
dc.titleClassification of brain tumor types by deep learning with convolutional neural network on magnetic resonance images using a developed web-based interfaceen_US
dc.typeConference Objecten_US

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