Document Type : Primary Research paper
Assistant Professor, Department of ECE, Koneru Lakshmaiah Education Foundation, Guntur, India-522502
Associate Professor, Department of ECE,Dadi Institute of Engineering technology, Anakapalle, Visakhapatnam
Professor, Department of ECE, Koneru Lakshmaiah Education Foundation, Guntur, India-522502
With the rapid technology development, the medical image processing stood as significant field. Thus, simplifies the physician for the process to investigate, identification, prognosis of the traumatic disorders. As per the findings, there exists the numerous categories of human body components are examined in the human body to assess the infections or the anxieties. Therefore, the testing, findings are handled within numerous images established ideas similar to Computed Tomography (CT) images combined with the Magnetic Resonance Imaging (MRI) images. Evaluation of images for the diagnosis of medical requires several techniques of the deep image processing procedures. The primer process is the Image Segmentation, offering segments to attain object with the desired result in the image has been scanned. Further, the analysis for the Spinal cord segmentation and neurodegenerative with the traumatic disorders are just developing in tasks of medical mining. In this article, the techniques associated to the image processing and spinal cord segmentation is examined. Eventually, the analysis definitively delivers the summary of the previous investigations with highlighting its facts and shortcomings for future enhancement of the technology.