Hybrid classical and quantum computing for enhanced glioma tumor classification using TCGA data

Abstract Gliomas are the most prevalent malignant primary brain tumors and present diagnostic challenges due to varying survival rates and treatment responses between low-grade gliomas (LGGs) and high-grade gliomas (HGGs). Accurate classification is crucial for effective treatment and prognosis. Whi...

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Bibliographic Details
Main Authors: Emine Akpinar, Murat Oduncuoglu
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-97067-3
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