Abstract
Brain tumor is an uncontrolled development of tissue in any piece of the brain. The tumor is of diverse sorts, and they have disparate particular and divergent taking care of. At present, most of the existing algorithms detect only single tumors and does not serve the need for multitumor detection. This paper is to execute of simple algorithm for recognition of extent and state of multiple tumors in brain magnetic resonance images. Divergent sorts of calculation were created for brain tumor recognition. In any case, they may have a couple of deficiencies in identification and extraction. After the division, which is done through fuzzy c-means calculations the brain tumor is recognized and its definite area is distinguished. Looking at toward alternate calculations, the execution of fuzzy c-means gives a sufficient result on brain tumor images. The persistent stage is controlled by this procedure.
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Busa, S., Vangala, N.S., Grandhe, P., Balaji, V. (2019). Automatic Brain Tumor Detection Using Fast Fuzzy C-Means Algorithm. In: Saini, H., Sayal, R., Govardhan, A., Buyya, R. (eds) Innovations in Computer Science and Engineering. Lecture Notes in Networks and Systems, vol 32. Springer, Singapore. https://doi.org/10.1007/978-981-10-8201-6_28
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DOI: https://doi.org/10.1007/978-981-10-8201-6_28
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