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Cervical Diseases Prediction Using LHVR Techniques
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作者 Praveena Rajasekaran preetha jaganathan Anjali Annadurai 《Computer Systems Science & Engineering》 SCIE EI 2021年第3期477-484,共8页
The stabilizing mechanisms of cervical spine spondylosis are involved in the degenerating segmentation vertebra,which often causes pain.Health of the individual is affected,both physically and mentally.Due to depressi... The stabilizing mechanisms of cervical spine spondylosis are involved in the degenerating segmentation vertebra,which often causes pain.Health of the individual is affected,both physically and mentally.Due to depression,nervous-ness,and psychological damages occur thereby losing their human activity func-tions.The nucleus pulposus of spinal disc herniation is prolapsed through a deficiency of annulusfibrosus.A jelly-like core part of the disc contains proteins that cause the tissues to become swollen when it touches the nucleus pulposus.The proposed Gradient Linear Classification(GLC)algorithm is used for the effi-cient automatic classification of disc degeneration herniation of Inter vertebral/vertebra in a cervical disc.Distance between the disc degeneration is classified through gradient operator and is estimated using the rotation of angles between the correlations.Specialists of the orthopedic spine are searching for high-preci-sion algorithms,which are achieved using proposed Linear Hybrid Vertebra Regression(LHVR)diagnostic techniques to identify the degree of cervical disc degeneration using an accurate location.Our experimental results have been used to determine a high range of classification in predicting the spinal cord which saves handling time and accomplishes high accuracy in detection. 展开更多
关键词 Cervical diseases GLC LHVR disc prediction classify disc degeneration
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