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资源简介：
Cerebral glioma grading using Bayesian Network
应用场景：
创建时间：
2015-05-03
相关数据集
Data_Sheet_1_Association Between Oral Microbiota and Human Brain Glioma Grade: A Case-Control Study.docx
Gliomas are the most prevalent form of primary malignant brain tumor, which currently have no effective treatments. Evidence from human studies has indicated that oral microbiota is closely related to
NIAID Data Ecosystem80
Detailed combinations of ensemble models.
ObjectiveGliomas are among the most common and heterogeneous primary tumours of the central nervous system. Accurate grading is essential for treatment planning and prognosis, yet conventional histopa
Figshare2025-12-26 更新30
Data_Sheet_3_The Diagnostic Value of Radiomics-Based Machine Learning in Predicting the Grade of Meningiomas Using Conventional Magnetic Resonance Imaging: A Preliminary Study.PDF
Objective: The purpose of the current study is to investigate whether texture analysis-based machine learning algorithms could help devise a non-invasive imaging biomarker for accurate classification
NIAID Data Ecosystem20
Microdissected gliomas/data analysis.
tissue: abbreviation of diagnosis based on histology.n: number of individual tumors analyzed.differentiation: specifies morphology of microdissected tumor components.Σ (n): sum of cases with respectiv
Figshare2015-12-02 更新40
Forest plot data for glioma grading.
Preoperative classification of brain tumors is critical to developing personalized treatment plans, however existing classification methods rely on manual intervention and often have problems with eff
Figshare2025-03-24 更新20
