{"title":"Cartilage Segmentation of Knee OsteoArthritis From Magnetic Resonance Images(MRI)","authors":"R. A, Dr. Ganga Holi","doi":"10.1109/ICAECC.2018.8479529","DOIUrl":null,"url":null,"abstract":"Human Knee joint is one of the commonly offended components of the human motion system. This paper, presents a segmentation method that segments the cartilage from magnetic resonance (MR) image of knee. We implement two process of segmentation here one after the other that is the amount of the morphological operations at the final segmentation process. Qualitatively, outcome obtained in this work show fine performance as the method is capable of segmenting cartilage area. The overall performance of developed method was evaluated by comparing obtained results with the manual segmented cartilage.","PeriodicalId":106991,"journal":{"name":"2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAECC.2018.8479529","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Human Knee joint is one of the commonly offended components of the human motion system. This paper, presents a segmentation method that segments the cartilage from magnetic resonance (MR) image of knee. We implement two process of segmentation here one after the other that is the amount of the morphological operations at the final segmentation process. Qualitatively, outcome obtained in this work show fine performance as the method is capable of segmenting cartilage area. The overall performance of developed method was evaluated by comparing obtained results with the manual segmented cartilage.
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