STROKE SEVERITY ANALYSIS THROUGH CT-SCAN IMAGE TEXTURE ANALYSIS OF THE BRAIN WITH GRAY LEVEL RUN LENGTH MATRIX METHOD

Agus Mulyono, Muthmainnah Muthmainnah, Nuralfin Anripa

Abstract


The condition of a stroke is when the blood supply to the brain is disrupted due to a blockage (ischemic
stroke) or rupture of a blood vessel (hemorrhagic stroke). This condition causes certain areas of the
brain to be deprived of the supply of oxygen and nutrients resulting in the death of brain cells. This
study aims to determine the process of ischemic stroke assistance and hemorrhagic analysis through CT
Scan image texture GLRLM brain method with the classification method using discriminant analysis
and determine the level of accuracy. In this study there are 3 stages, namely preprocessing, learning
stages and testing stages. The results of the assessment of stroke in the ischemic and hemorrhagic
categories through texture analysis of CT scan images using the GLRLM brain method with a
classification accuracy of 100%.


Keywords


stroke; CT-Scan; texture; GLRLM

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DOI: https://doi.org/10.18860/neu.v16i2.26261

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