Abstract
The bone tumors are masses of tissue which are formed within the bone cells. Giant cell tumor of bone (GCT) is a one of a kind of benign (noncancerous) bone tumor. It is an osteolytic lesion which leads to progressive bone destruction, fracture and disability. For imaging the human body a medical technique called Magnetic Resonance technique (MRI) is used. MRI gives superlative imaging modality for medical research work because of its superior contrast resolution and multiplanar imaging capabilities. In this paper, we have used Rough Fuzzy C-Means Technique, an image processing clustering technique for detection of Giant Cell Tumor. We were able to reach the accuracy of 86.16% and with lesser computational time using this technique of Rough Fuzzy C-Means for detection of Giant Cell Tumor.
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Mistry, K., Dargad, S., Saluja, A. (2019). Rough Fuzzy Technique for Giant Cell Tumor Detection. In: Verma, S., Tomar, R., Chaurasia, B., Singh, V., Abawajy, J. (eds) Communication, Networks and Computing. CNC 2018. Communications in Computer and Information Science, vol 839. Springer, Singapore. https://doi.org/10.1007/978-981-13-2372-0_30
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DOI: https://doi.org/10.1007/978-981-13-2372-0_30
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