Design And Analysis Of An Improved Deep Learning Algorithm On Classification Of Intervertebral Discs

Abstract

In this paper, the classification of Intervertebral Disc after scanning of spinal vertebra. In this classification process analysis and classification is carried out using a deep learning classifier that involves Deep Learning Algorithm namely Convolutional Neural Network. This method uses ConvNet method for analyzing and reduction of dimensions that extracts the essential features and therefore it helps in classification of vertebra. The evaluation shows that the proposed method offers increased speed and accuracy with reduced computational time than the existing machine learning algorithms.