@article{Limam_2016, title={Brain Tumor Segmentation using Multiobjective Fuzzy Clustering}, volume={4}, url={https://journals.scholarpublishing.org/index.php/TMLAI/article/view/1840}, DOI={10.14738/tmlai.41.1840}, abstractNote={<p>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.</p>}, number={1}, journal={Transactions on Engineering and Computing Sciences}, author={Limam, Olfa Mohamed}, year={2016}, month={Mar.}, pages={58} }