Department of Information Technology Reports Findings in Brain Cancer (Exploring fetal brain tumor glioblastoma symptom verification with self organizing maps and vulnerability data analysis).
In: Pediatrics Week, 2024-05-03, S. 153-153
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A recent study conducted in Telangana, India, explores the use of self-organizing maps and vulnerability data analysis to verify symptoms of fetal brain tumor glioblastoma. Glioblastoma is a disease caused by abnormal cells in the brain, which can be detected using MRI brain imaging. If left untreated, glioblastoma can be fatal, so early diagnosis is crucial. The study proposes a method that achieves a high accuracy rate of 98.12% in diagnosing glioblastoma, outperforming other methods such as genetic algorithms and support vector machines. This research has the potential to improve the diagnosis and treatment of brain cancer in both children and adults. [Extracted from the article]
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Department of Information Technology Reports Findings in Brain Cancer (Exploring fetal brain tumor glioblastoma symptom verification with self organizing maps and vulnerability data analysis).
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Zeitschrift: | Pediatrics Week, 2024-05-03, S. 153-153 |
Veröffentlichung: | 2024 |
Medientyp: | serialPeriodical |
ISSN: | 1944-2637 (print) |
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