Image Segmentation Based on Pixels using Deep Learning Approach for Brain Images

Abstract

The brain is widely used in many medical fields. Tumour pandemic drastically influences the health and well-being of the global population. In this proposed methodology, the deep learning approach is performed. The extracted image of the brain cannot be directly used for diagnosis. The captured image contains disturbances like noise, blurred image etc. To get a high-quality image from extracted panoramic. This approach is performed. To the extracted images, partitioning is performed to split
up the images into samples. It helps for better recognition and classification. It shows the infected region of the brain accurately. Before performing partitioning, the extracted image has to be preprocessed to clear out the disturbances in the image. After partitioning, feature extraction is performed by using GLCM and finally, classification is performed between the trained and test set data to produce a highly accurate image. It is done by using CNN classifier. This processed image helps the dentist for good prediction.