Classification of Brain MRI Images and Cellular Localization Analysis
DOI:
https://doi.org/10.48047/t48agj23Keywords:
Brain Tumor Detection, Hybrid Model, Image Segmentation, EnhancementAbstract
Brain Tumor is a type of disease in which brain cells get abnormal growth which causes harm to the person if not detected early. But even if it is detected it sometimes gets hard to identify the location of the cells. If it is found, then proper treatment can be provided to the patient to treat the disease. It is because the brain is the most important part of our organ system which if not treated properly can make a person in a coma or worse condition. Accurately identifying the location is the most important while diagnosis of brain tumor.
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References
Hao, R., Namdar, K., Liu, L. and Khalvati, F., 2021. A transfer learning–based active learning framework for brain tumor classification. Frontiers in artificial intelligence, 4, p.635766.
Nayak, D.R., Padhy, N., Mallick, P.K., Bagal, D.K. and Kumar, S., 2022. Brain tumour classification using noble deep learning approach with parametric optimization through metaheuristics approaches.
Computers, 11(1), p.10.
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