Identification of brain tumors based on digitized parameters from magnetic resonance imaging results

被引：0
|
作者：
Al-Ansi, A. M. [1 ]
Almadi, M. [2 ]
Ryabtsev, V. [3 ]
Utkina, T. [4 ]
机构：
[1] Thamar Univ, Dhamar, Yemen
[2] I&O Solut Inc, Montreal, PQ, Canada
[3] European Univ, Cherkassy Branch, Cherkassy, Ukraine
[4] Cherkassy State Technol Univ, Cherkassy, Ukraine
来源：
EXAMPLES AND COUNTEREXAMPLES | 2023年 / 4卷
关键词：
magnetic resonance imaging; Eidos system; brain tumor; MRI; DIAGNOSIS;
D O I：
10.1016/j.exco.2023.100125
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
A methodology is proposed for identifying brain tumors by dividing the database into four parts. The results obtained from the study of sample specimens for each type of brain tumor showed a high degree of similarity in recognition. This methodology can be applied in healthcare facilities to improve the accuracy of disease diagnosis.
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页数：7
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