New Algorithm For Detection of Spinal Cord Tumor using OpenCV

Article ID

CSTGV8Y160

New Algorithm For Detection of Spinal Cord Tumor using OpenCV

A. S. M Mahmudul Hasan
A. S. M Mahmudul Hasan Open University, Gazipur
Raihan Uddin Ahmed
Raihan Uddin Ahmed
Tanvir Ahmed Chowdhury
Tanvir Ahmed Chowdhury
DOI

Abstract

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.

New Algorithm For Detection of Spinal Cord Tumor using OpenCV

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
A. S. M Mahmudul Hasan Open University, Gazipur
Raihan Uddin Ahmed
Raihan Uddin Ahmed
Tanvir Ahmed Chowdhury
Tanvir Ahmed Chowdhury

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A. S. M Mahmudul Hasan. 2018. “. Global Journal of Computer Science and Technology – F: Graphics & Vision GJCST-F Volume 18 (GJCST Volume 18 Issue F1): .

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST Volume 18 Issue F1
Pg. 35- 41
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GJCST-F Classification: I.3.3
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New Algorithm For Detection of Spinal Cord Tumor using OpenCV

A. S. M Mahmudul Hasan
A. S. M Mahmudul Hasan Open University, Gazipur
Raihan Uddin Ahmed
Raihan Uddin Ahmed
Tanvir Ahmed Chowdhury
Tanvir Ahmed Chowdhury

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