Glioma grading - Globe Thesis

Keyword [Glioma grading] Result: 21 - 40 \| Page: 2 of 3
21.	Quantitative Features Of MR Imaging In Evaluating Glioma Grading,Prognosis And Response To Anti-angiogenic Therapy
22.	Multi-Modal Magnetic Resonance Imaging And Radiomics In Assessment Of Grade And IDH-1 Gene Type In Gliomas
23.	The Application Value Of Diffusion Tensor Imaging Fiber Density Index Of Peritumoral Fibers In Glioma Grading And Its Correlation With Ki-67
24.	Diagnostic Performance Of The Multimodal Magnetic Resonance Imaging In Preoperative Glioma Grading
25.	Application Of Dynamic Contrast Enhanced Magnetic Resonance Imaging(DCE-MRI) And Three Dimensional Arterial Spin Labeling(3D-ASL) In Brain Glioma And Primary Central Nervous System Lymphoma
26.	The Clinical Value Of ASL And IVIM In Glioma Grading And IDH1 Mutation Status
27.	MRI 3D-ASL Combined With DTI In The Diagnosis Of Common Intracranial Tumors And Glioma Grading
28.	Predictive Value Of Magnetic Resonance Image Complication In Brain Glioma Grading
29.	Application Of Convolutional Neural Network In Grading Of Glioma
30.	Diagnostic Value Of Intraoperative Real-time Ultrasound In Glioma Grading
31.	Research On Glioma Grading Model Based On Multi-sequence Maximum Entropy Discrimination
32.	Gliomas Grading Methods Based On PET Images And Genetic Information
33.	Texture Analysis Based On MRI In Cerebral Glioma Grading And Prognosis Prediction
34.	The Value Of Multimodal MRI In Glioma Grading And Genotyping
35.	The Application Of Functional MRI In Evaluating The Grade And Molecular Biological Characteristics Of Gliomas
36.	Quantitative Analysis Of Apparent Diffusion Coefficient(ADC)in The Diagnosis And Predictive Of Glioma Grading And Proliferation Ability
37.	The Correlation Between Mutant P53、bcl-2、bax Expression And Glioma Grading And Prognosis:a Meta-analysis
38.	Multi-modal MRI-based Grading Analysis For Gliomas By Integrating Radiomics And Deep Features
39.	The Application Of T1 And T2 Values In Predicting Brain Glioma Grading And Cell Proliferation
40.	Research On Key Techniques Of Radiomics-Based Glioma Grading
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