Stroke severity analysis through CT-scan image texture analysis of the brain with gray level run length matrix method

Mulyono, Agus ORCID: https://orcid.org/0000-0002-2574-1791, Muthmainnah, Muthmainnah and Anripa, Nuralfin (2024) Stroke severity analysis through CT-scan image texture analysis of the brain with gray level run length matrix method. Jurnal Neutrino, 16 (2). pp. 53-59. ISSN 24605999

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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%.

Item Type:	Journal Article
Keywords:	Stroke; CT-Scan; Texture; GLRLM
Subjects:	02 PHYSICAL SCIENCES > 0299 Other Physical Sciences > 029901 Biological Physics
Divisions:	Faculty of Mathematics and Sciences > Department of Physics
Depositing User:	Agus Mulyono
Date Deposited:	17 May 2024 13:51

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