Abstract

In this article, the Intervertebral Disk classification after vertebral vertebra scanning. This classification is done with the aid of a deep learning classification which includes a profound learning algorithm called the Convolutional Recurrent Neural Network (CRNN). The ConvNet method is used in this process to evaluate and reduce dimensions which extract the critical characteristics and thus help to distinguish the vertebrae. The assessment indicates that the approach suggested provides greater speed and precision in less computing time than current algorithms.