OPTIMIZED BRAIN MRI CLASSIFICATION USING FUZZY C MEANS SEGMENTATION AND DCNN WITH PSO

Описание: In this video, an optimized approach for brain MRI classification is demonstrated using fuzzy C-means segmentation and a deep convolutional neural network (DCNN) with PSO. The process begins with images undergoing preprocessing using an adaptive median filter to remove noise. Segmentation is then performed using fuzzy C-means clustering and feature extraction through Histogram of Oriented Gradients (HOG). Finally, a deep convolutional neural network (DCNN) optimized with Particle Swarm Optimization (PSO) classifies the features to produce the predicted output.