Abstract
Brain tumor is the most commonly occurring malignancy among human beings, so study of brain tumor is important. In this paper, we propose an image segmentation method to indentify or detect tumor from the brain magnetic resonance imaging (MRI). There are many thresholding methods developed but they have different result in each image. So we need a method by which detection of tumor can be done uniquely. In this paper we propose a set of image segmentation algorithms which gives a satisfactory result on brain tumor images.
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Bhattacharyya, D., Kim, Th. (2011). Brain Tumor Detection Using MRI Image Analysis. In: Kim, Th., Adeli, H., Robles, R.J., Balitanas, M. (eds) Ubiquitous Computing and Multimedia Applications. UCMA 2011. Communications in Computer and Information Science, vol 151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20998-7_38
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DOI: https://doi.org/10.1007/978-3-642-20998-7_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20997-0
Online ISBN: 978-3-642-20998-7
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