Paper Title
PREDICTING MENINGIOMA USING INCEPTION AND EFFICIENT NET ALGORITHMS

Abstract
Meningioma is the most common primary brain tumor, accounting for more than 30% of all brain tumors. Meningiomas originate in the meninges, the outer three layers of tissue that cover and protect the brain just under the skull. This LGG is treated with a combination of surgery and examination by monitoring the meningioma with brain MRI scans. The study of this project enabled us to build a fully automated system for segmentation of meningioma utilizing computer vision techniques, and developing models that would allow high-quality LGG identification in the brain MRI would potentially be automated to identify the genomic subtype of the meningioma by rapid and inexpensive imaging. Keywords - Glioma, LGG, MRI,Inception,Efficientnet