Abstract
This chapter proposes a novel approach towards extraction of brain tumor images from T1-type magnetic resonance imaging (MRI) scan images. The algorithm includes segmentation of the scan image using a rough set-based K-means algorithm. It is followed by the use of global thresholding and morphological operations to extract an image of the tumor-affected region in the scan. This algorithm has been found to extract tumor images more accurately compared than existing algorithms.
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Dobe, O., Sarkar, A., Halder, A. (2019). Rough K-Means and Morphological Operation-Based Brain Tumor Extraction. In: Krishna, A., Srikantaiah, K., Naveena, C. (eds) Integrated Intelligent Computing, Communication and Security. Studies in Computational Intelligence, vol 771. Springer, Singapore. https://doi.org/10.1007/978-981-10-8797-4_67
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DOI: https://doi.org/10.1007/978-981-10-8797-4_67
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