Meniscus segmentation and tear detection in the knee MR images by fuzzy c-means method

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dc.authorscopusid55807379700
dc.authorscopusid16309030500
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 2017 -- 15 May 2017 through 18 May 2017 -- -- 128703
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. © 2017 IEEE.
dc.identifier.doi10.1109/SIU.2017.7960183
dc.identifier.isbn978-1509064946
dc.identifier.scopus2-s2.0-85026316595
dc.identifier.urihttps://doi.org/10.1109/SIU.2017.7960183
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6097
dc.indekslendigikaynakScopus
dc.institutionauthorSaygılı, Ahmet
dc.language.isotr
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof2017 25th Signal Processing and Communications Applications Conference, SIU 2017
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectFCM-Fuzzy C-Means
dc.subjectMedical Image Processing
dc.subjectMedical Segmentation
dc.subjectMeniscus
dc.subjectMeniscus Tears
dc.subjectComputer aided diagnosis
dc.subjectDiagnosis
dc.subjectFuzzy systems
dc.subjectImage segmentation
dc.subjectJoints (anatomy)
dc.subjectMagnetic resonance imaging
dc.subjectMathematical morphology
dc.subjectMedical computing
dc.subjectMedical image processing
dc.subjectMedical imaging
dc.subjectSignal processing
dc.subjectComputer assisted diagnosis
dc.subjectFuzzy C mean
dc.subjectFuzzy C means method
dc.subjectMedical segmentations
dc.subjectMeniscus
dc.subjectMeniscus tears
dc.subjectMorphological operations
dc.subjectSagittal plane
dc.subjectImage processing
dc.titleMeniscus segmentation and tear detection in the knee MR images by fuzzy c-means method
dc.title.alternativeBulanik c-Ortalamalar Yöntemi ile Diz MR Görüntülerinde Menisküs Bölütlemesi ve Yirtik Tespiti]
dc.typeConference Object

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