Survey on Automatic Spinal Cord Segmentation Using MR Images
AbstractMedical image process is a very important area of recent analysis. This facilitates the practicing to diagnosis, analyse, prognosis traumatic diseases. There are many sorts of human body components are analysed to find the diseases or discomforts in the physical body. These analysis, identification are processed kind various image primarily based inputs like computerized tomography (CT) images, magnetic resonance Imaging (MRI) pictures. Analysis of such pictures for diagnosis needs some deep image processing techniques. Image Segmentation is that the main method, which segments the specified object from the scan pictures. Spinal cord segmentation and analysis of neuro degernative and traumatic diseases are recently rising in medical mining tasks. In this paper, a group of image process techniques and numerous techniques for spinal cord segmentation is reviewed.
How to Cite
PATIL, Neha Dattatray; BASTAWADE, Soniya. Survey on Automatic Spinal Cord Segmentation Using MR Images. International Journal Of Emerging Technology and Computer Science, [S.l.], v. 3, n. 3, p. 34-39, oct. 2018. ISSN 2455-9954. Available at: <https://aspirepublishers.com/index.php/ijetcs/article/view/223>. Date accessed: 28 may 2020.