DOIONLINE 
DOIONLINE Publish In |
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC |
 Journal Home Volume Issue |
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Issue |
Volume-11,Issue-6 ( Jun, 2023 ) | |||||||||
Paper Title |
A Review on Brain Tumor Segmentation Techniques on MRI Images | |||||||||
Author Name |
Mansi Singh, Kumari Kalyani, Tannu Yadav, Bhawna Yadav, Najme Zehra Naqvi | |||||||||
Affilition |
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Pages |
73-81 | |||||||||
Abstract |
Cancer has been increasingly affecting people of vast diversity in age, gender, origin, etc. This makes its timely diagnosis and treatment essential. A brain tumour is typically an abnormal development of brain cells that is either malignant (cancerous) or benign (non-cancerous). Brain tumors are very dangerous because it is quite hard to perform surgery on them owing to their sensitive location. Early detection of tumor and its classification into malignant or benign allows medical practition- ers to perform accurate diagnosis and hence, provide appropriate treatment. This paper introduces various contemporary state-of- the-art ML and DL methods used in brain tumor segmentation and their comparative study based on metrics of performance. Keywords - Medical Image Segmentation, Machine Learn- ing, Deep Learning, MRI | |||||||||
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