Brain Tumor Segmentation using Multiobjective Fuzzy Clustering
DOI:
https://doi.org/10.14738/tmlai.41.1840Keywords:
Brain tumor image segmentation, fuzzy clustering, multiobjective optimization, genetic algorithm.Abstract
The segmentation of magnetic resonance images plays a crucial role in medical image analysis because it extracts the required area from the image. Despite intensive research, it still remains a challenging problem and there is a need to develop an appropriate and efficient medical image segmentation method. In this paper, we propose a clustering approach for brain tumor segmentation to diagnose accurately the region of cancer. Applied to magnetic resonance image brain our method provides better identification of brain tumor.
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