Deep Convolutional Neural Network Classifier for Effective Knee Osteoarthritis Classification

Millions of people are affected by the disease Knee Osteoarthritis, and prevalence condition is steadily increasing. osteoarthritis has a significant impact on people's lives generating increased worry, mental health disorders, physical problems. Early detection knee critical for decreasing consequences, numerous studies being conducted to classify osteoarthritis. In this study, deep CNN classifier used osteoarthritis, which effectively extracts features required classification more efficiently. The preprocessing data, done in three processes such as Circular Fourier Transform, Multivariate Linear Function, Histogram Equalization, particularly important research since it aids obtaining efficient information about image. classifier's weights bias deliver better desired results while spending less time storage. proposed attained Accuracy 94.244%, F1 measure 94.059%, Precision Recall 93.586%.