Medical Image Classification Based on Optimal Feature Selection Using a Deep Learning Model

Abstract

Medical images can be used to diagnose and treat disease. It provides valuable information about internal organs for treatment and assists physicians in diagnosing and treating disease. We use deep learning improved classifier for the classification of lung cancer, brain tumors, and Alzheimer’s disease in this study. The classification of medical images is a serious problem in computer-based diagnoses. Hence, we have created a classification of medical images based on selection of the optimal feature using the deep learning model by adding specific steps such as preprocessing analysis, feature selection, and classification. The most important purpose of the study was to find the most accurate selection model for medical image classification.