Equilibrium Optimization Algorithm with Deep Learning Based Brain Tumor Segmentation and Classification on Magnetic Resonance Imaging

Abstract

HIGHLIGHTS Proposed an EOADL-BTSC technique for Brain Tumor Segmentation and Classification. Perform data preprocessing in two stages namely CLAHE based contrast enhancement and skull stripping. Developed EOA with Attention inception based UNet technique is developed for medical image segmentation. Employ CapsNet based feature extraction and CRNN model for brain disorder classification.