Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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The spinal cord, one of the most sensitive and significant parts of the human body, lies protected inside the spine (the backbone) and contains bundles of nerves. Any minor problem in the spinal cord can cause debilitation of internal and external functions of the human body. One of the complications in the spinal cord is tumor -abnormal growth of tissue. In this project, we present a new algorithm based on OpenCV to detect spinal cord tumors from MRI sagittal image without human intervention. The new algorithm can detect tumor-like substances adjacent to the spinal cord. Tests carried out on spinal cord MRI images 33 cervical spinal images showed approximately 90.91% of accuracy rate in detecting tumors.
A. S. M Mahmudul Hasan. 2018. \u201cNew Algorithm For Detection of Spinal Cord Tumor using OpenCV\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 18 (GJCST Volume 18 Issue F1): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
Total Score: 103
Country: Bangladesh
Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision
Authors: A. S. M Mahmudul Hasan, Raihan Uddin Ahmed, Tanvir Ahmed Chowdhury (PhD/Dr. count: 0)
View Count (all-time): 276
Total Views (Real + Logic): 5902
Total Downloads (simulated): 1516
Publish Date: 2018 07, Mon
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Neural Networks and Rules-based Systems used to Find Rational and
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The spinal cord, one of the most sensitive and significant parts of the human body, lies protected inside the spine (the backbone) and contains bundles of nerves. Any minor problem in the spinal cord can cause debilitation of internal and external functions of the human body. One of the complications in the spinal cord is tumor -abnormal growth of tissue. In this project, we present a new algorithm based on OpenCV to detect spinal cord tumors from MRI sagittal image without human intervention. The new algorithm can detect tumor-like substances adjacent to the spinal cord. Tests carried out on spinal cord MRI images 33 cervical spinal images showed approximately 90.91% of accuracy rate in detecting tumors.
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