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dc.contributor.authorKEPİL, NURAY
dc.contributor.authorYilmaz, Tuba
dc.contributor.authorAtes Alkan, Fatma
dc.contributor.authorRekık, Islem
dc.contributor.authorAkduman, İbrahim
dc.contributor.authorÖnemli, Emre
dc.contributor.authorJoof, Sulayman
dc.contributor.authorAydinalp, Cemanur
dc.contributor.authorPASTACI ÖZSOBACI, NURAL
dc.date.accessioned2022-02-18T09:27:09Z
dc.date.available2022-02-18T09:27:09Z
dc.date.issued2022
dc.identifier.citationÖnemli E., Joof S., Aydinalp C., PASTACI ÖZSOBACI N., Ates Alkan F., KEPİL N., Rekık I., Akduman İ., Yilmaz T., "Classification of rat mammary carcinoma with large scale in vivo microwave measurements", SCIENTIFIC REPORTS, cilt.12, sa.1, 2022
dc.identifier.issn2045-2322
dc.identifier.othervv_1032021
dc.identifier.otherav_3ce968a9-0332-471a-bedd-d507a74777da
dc.identifier.urihttp://hdl.handle.net/20.500.12627/177239
dc.identifier.urihttps://avesis.istanbul.edu.tr/api/publication/3ce968a9-0332-471a-bedd-d507a74777da/file
dc.identifier.urihttps://doi.org/10.1038/s41598-021-03884-7
dc.description.abstractMammary carcinoma, breast cancer, is the most commonly diagnosed cancer type among women. Therefore, potential new technologies for the diagnosis and treatment of the disease are being investigated. One promising technique is microwave applications designed to exploit the inherent dielectric property discrepancy between the malignant and normal tissues. In theory, the anomalies can be characterized by simply measuring the dielectric properties. However, the current measurement technique is error-prone and a single measurement is not accurate enough to detect anomalies with high confidence. This work proposes to classify the rat mammary carcinoma, based on collected large-scale in vivo S-11 measurements and corresponding tissue dielectric properties with a circular diffraction antenna. The tissues were classified with high accuracy in a reproducible way by leveraging a learning- based linear classifier. Moreover, the most discriminative S-11 measurement was identified, and to our surprise, using the discriminative measurement along with a linear classifier an 86.92% accuracy was achieved. These findings suggest that a narrow band microwave circuitry can support the antenna enabling a low-cost automated microwave diagnostic system.
dc.language.isoeng
dc.subjectMultidisciplinary
dc.subjectTemel Bilimler (SCI)
dc.subjectTemel Bilimler
dc.subjectÇOK DİSİPLİNLİ BİLİMLER
dc.subjectDoğa Bilimleri Genel
dc.titleClassification of rat mammary carcinoma with large scale in vivo microwave measurements
dc.typeMakale
dc.relation.journalSCIENTIFIC REPORTS
dc.contributor.departmentİstanbul Teknik Üniversitesi , Elektrik-Elektronik , Elektronik Ve Haberleşme Mühendisliği
dc.identifier.volume12
dc.identifier.issue1
dc.contributor.firstauthorID3389972


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