Paper Title: Deep Learning Segmentation Approach For Brain Tumor Detection Using MRI

Author's name:A.Benazir, S.Amaresan

Brain tumor is the linear growth of abnormal or cancerous cells around the brain or inside the brain. Based on the origination of tumor inside the brain, the glioma is categorized into two different categories as: primary tumor and secondary tumor. The primary tumor can be benign or malignant, which does not spread to other location of human body.However, the brain tumor is categorized as segmentation and classification-based methods. This paper deals with Based on the functional features of brain tumor, the segmentation and the classification methods are categorized. The proposed approach here the brain tumor segmentation methods used to segment the core region of tumor is elaborated as Deep learning-based segmentation methods. As the results the segmentation accuracy obtained by the deepjoint segmentation with population size 10, deepjoint segmentation with population size 20, deepjoint egmentation with population size 30, deepjoint segmentation with population size 40, and deepjoint segmentation with population size 50 is 75.78%, 75.79%, 93.48%, 93.50%, and 93.52%, respectively.

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