Meniscus Segmentation and Tear Detection in the Knee MR Images by Fuzzy c-Means Method

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dc.authorid0000-0001-8625-4842
dc.authorid0000-0002-1786-6869
dc.authorwosidSAYGILI, AHMET/AAG-4161-2019
dc.authorwosidVarlı, Songül/AAZ-4672-2020
dc.contributor.authorSaygılı, Ahmet
dc.contributor.authorAlbayrak, Songül
dc.date.accessioned2022-05-11T14:15:51Z
dc.date.available2022-05-11T14:15:51Z
dc.date.issued2017
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEY
dc.description.abstractComputer-assisted diagnosis (CAD) studies on medical images have gained momentum recently. The studies in this area facilitates the work of medical specialists and reduces the time cost. In this study, meniscus segmentation and meniscus tears were performed on 10 different knee MR images in the 3-D DESS standard obtained on the sagittal plane. The morphological operations used in image processing are utilized in the preprocessing stage for segmentation and tear detection. The fuzzy c-means (FCM) method was used to segment the knee joint meniscus tissues and to detect tears. It has been noted that the MR images selected from the meniscus tears differ from each other according to their structures. The next phase of this study will be automatically classified the meniscus according to the types of tears.
dc.description.sponsorshipTurk Telekom, Arcelik A S, Aselsan, ARGENIT, HAVELSAN, NETAS, Adresgezgini, IEEE Turkey Sect, AVCR Informat Technologies, Cisco, i2i Syst, Integrated Syst & Syst Design, ENOVAS, FiGES Engn, MS Spektral, Istanbul Teknik Univ
dc.identifier.isbn978-1-5090-6494-6
dc.identifier.issn2165-0608
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6096
dc.identifier.wosWOS:000413813100047
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.institutionauthorSaygılı, Ahmet
dc.language.isotr
dc.publisherIEEE
dc.relation.ispartof2017 25th Signal Processing and Communications Applications Conference (Siu)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectMedical Image Processing
dc.subjectMeniscus
dc.subjectFCM-Fuzzy C-Means
dc.subjectMeniscus Tears
dc.subjectMedical Segmentation
dc.titleMeniscus Segmentation and Tear Detection in the Knee MR Images by Fuzzy c-Means Method
dc.typeConference Object

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