Breast cancer classification using a constructed convolutional neural network on the basis of the histopathological images by an interactive web-based interface

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dc.authorscopusid57188684428
dc.authorscopusid57195636045
dc.authorscopusid11738942300
dc.contributor.authorArslan A.K.
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.abstractIn this study, it is aimed to develop a system that can provide clinical support to physicians in the diagnosis of breast cancer with open source access artificial intelligence based software. The proposed system was designed using an open source data set for the classification of breast cancer (benign/malignant) on the basis of the histopathological images. In this context, Keras library and convolutional neural networks from deep learning methods were used on the images obtained by staining with hematoxylin and eosin of biopsy specimens taken from breast tissues. Shiny package in the R programming language is employed to develop for the user interface. According to the experimental results obtained from the study, it was determined that the designed system gives promising predictions in the classification of breast cancer and can be used for clinical decision support in the classification of the disease. This designed system can be available at http://biostatapps.inonu.edu.tr/MKSY/ in both English and Turkish. © 2019 IEEE.en_US
dc.identifier.doi10.1109/ISMSIT.2019.8932942
dc.identifier.isbn9781728137896
dc.identifier.scopus2-s2.0-85078001187en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/ISMSIT.2019.8932942
dc.identifier.urihttps://hdl.handle.net/11616/92256
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.subjectbreast canceren_US
dc.subjectclassificationen_US
dc.subjectconvolutional neural networksen_US
dc.subjectdeep learningen_US
dc.subjectpredictionen_US
dc.subjectshinyen_US
dc.titleBreast cancer classification using a constructed convolutional neural network on the basis of the histopathological images by an interactive web-based interfaceen_US
dc.typeConference Objecten_US

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