Spinal Cord Vertebrae Identification and Segmentation using Machine Learning Classification Approach

The nervous system is a vital body phenomenon. Taking one of its major organs, the spinal cord, and describing its significance are a crucial task. The damage in the major hub of the information transmission network can disturb the functionality of any other vital organ. proposed identification and segmentation for vertebrae of spinal cord from CT scan dataset using convolutional neural network, K-means algorithm and K-NN algorithm. The process of identification and segmentation is divided into two phases. In the first phase a deep learning based convolution neural network is used for providing segmentation of the whole spine and the second phase has the localization and identification of vertebrae.