Spinal cord segmentation and classification of degenerative disease

  • Arjun Department of Computer Science, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Mysuru, Karnataka, India
  • Kanchana V Department of Computer Science, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Mysuru, Karnataka, India

Abstract

spinal cord plays an important role in human life. In our work, we are using digital image processing technique, the interior part of the human body can be analyzed using MRI, CT and X-RAY etc. Medical image processing technique is extensively used in medical field. In here we are using MRI image to perform our work In our proposed work, we are finding degenerative disease from spinal cord image. In our work first, we are preprocessing the MRI image and locate the degenerative part of the spinal cord, finding the degenerative part using various segmentation approach after that classifying degenerative disease or normal spinal cord using various classification algorithm. For segmentation, we are using an efficient semantic segmentation approach

Keywords: Spinal cord, MRI, IVD, degenerative disease, MLD, SC

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Published
2019-07-25
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How to Cite
Arjun, & Kanchana V. (2019). Spinal cord segmentation and classification of degenerative disease. International Journal of Research in Pharmaceutical Sciences, 10(3), 2426-2432. https://doi.org/10.26452/ijrps.v10i3.1490
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Original Articles
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