Abstract
Computer-aided diagnosis (CAD) systems for identifying brain tumor region in medical study have been investigated by various methods. This paper introduces an approach in computer-aided diagnosis for identification of brain tumor in early stages using level set segmentation method. The skull stripping and histogram equalization techniques are used as the processing techniques for the acquired image. The preprocessed image is used to segment region of interest using level set approach. The segmented image is fine-tuned by applying morphological operators. The proposed method gives better Mean Opinion Score (MOS) as compared to conventional level set method.
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Virupakshappa, Amarapur, B. (2018). A Segmentation Approach Using Level Set Coding for Region Detection in MRI Images. In: Nandi, A., Sujatha, N., Menaka, R., Alex, J. (eds) Computational Signal Processing and Analysis. Lecture Notes in Electrical Engineering, vol 490. Springer, Singapore. https://doi.org/10.1007/978-981-10-8354-9_21
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DOI: https://doi.org/10.1007/978-981-10-8354-9_21
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