Saygılı, AhmetAlbayrak, Songül2022-05-112022-05-112017978-1509064946https://doi.org/10.1109/SIU.2017.7960183https://hdl.handle.net/20.500.11776/609725th Signal Processing and Communications Applications Conference, SIU 2017 -- 15 May 2017 through 18 May 2017 -- -- 128703Computer-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.tr10.1109/SIU.2017.7960183info:eu-repo/semantics/closedAccessFCM-Fuzzy C-MeansMedical Image ProcessingMedical SegmentationMeniscusMeniscus TearsComputer aided diagnosisDiagnosisFuzzy systemsImage segmentationJoints (anatomy)Magnetic resonance imagingMathematical morphologyMedical computingMedical image processingMedical imagingSignal processingComputer assisted diagnosisFuzzy C meanFuzzy C means methodMedical segmentationsMeniscusMeniscus tearsMorphological operationsSagittal planeImage processingConference Object2-s2.0-85026316595