Support vector machine multiparametric MRI identification of pseudoprogression from tumor recurrence in patients with resected glioblastoma
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The role of diffusion and perfusion weighted imaging in the differential diagnosis of cerebral tumors: a review and future perspectivesPost-treatment imaging changes in primary brain tumors.Characterization of pseudoprogression in patients with glioblastoma: is histology the gold standard?Tumour Relapse Prediction Using Multiparametric MR Data Recorded during Follow-Up of GBM Patients.Evaluation of pseudoprogression in patients with glioblastoma multiforme using dynamic magnetic resonance imaging with ferumoxytol calls RANO criteria into question.A Support Vector Machine based method to distinguish proteobacterial proteins from eukaryotic plant proteins.Discriminating radiation necrosis from tumor progression in gliomas: a systematic review what is the best imaging modality?Combined unsupervised-supervised classification of multiparametric PET/MRI data: application to prostate cancer.Combination of IVIM-DWI and 3D-ASL for differentiating true progression from pseudoprogression of Glioblastoma multiforme after concurrent chemoradiotherapy: study protocol of a prospective diagnostic trial.Incidence of Tumour Progression and Pseudoprogression in High-Grade Gliomas: a Systematic Review and Meta-Analysis.High levels of cellular proliferation predict pseudoprogression in glioblastoma patientsAssessment of disease severity in late infantile neuronal ceroid lipofuscinosis using multiparametric MR imaging.Pseudo progression identification of glioblastoma with dictionary learningClassifying Glioblastoma Multiforme Follow-Up Progressive vs. Responsive Forms Using Multi-Parametric MRI Features.Histopathological correlates with survival in reoperated glioblastomas.Mean cerebral blood volume is an effective diagnostic index of recurrent and radiation injury in glioma patients: A meta-analysis of diagnostic test.Differentiating tumor recurrence from treatment necrosis: a review of neuro-oncologic imaging strategiesPseudoprogression after glioma therapy: a comprehensive review.Technical Pitfalls of Signal Truncation in Perfusion MRI of Glioblastoma.Predicting a multi-parametric probability map of active tumor extent using random forests.Machine learning in preoperative glioma MRI: survival associations by perfusion-based support vector machine outperforms traditional MRI.Prediction of pseudoprogression in patients with glioblastomas using the initial and final area under the curves ratio derived from dynamic contrast-enhanced T1-weighted perfusion MR imaging.Resting-state functional connectivity of the dorsal frontal cortex predicts subcortical vascular cognition impairment.Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches.Identifying spatial imaging biomarkers of glioblastoma multiforme for survival group prediction.Perfusion MRI in the Evaluation of Suspected Glioblastoma Recurrence.Differentiating Tumor Progression from Pseudoprogression in Patients with Glioblastomas Using Diffusion Tensor Imaging and Dynamic Susceptibility Contrast MRI.[Multiparametric imaging with simultaneous MRI/PET: Methodological aspects and possible clinical applications].[Multiparametric imaging with simultaneous MR/PET. Methodological aspects and possible clinical applications].Recurrent glioblastoma multiforme versus radiation injury: a multiparametric 3-T MR approach.Prediction of Pseudoprogression versus Progression using Machine Learning Algorithm in Glioblastoma
P2860
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P2860
Support vector machine multiparametric MRI identification of pseudoprogression from tumor recurrence in patients with resected glioblastoma
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年学术文章
@wuu
2011年学术文章
@zh-cn
2011年学术文章
@zh-hans
2011年学术文章
@zh-my
2011年学术文章
@zh-sg
2011年學術文章
@yue
2011年學術文章
@zh
2011年學術文章
@zh-hant
name
Support vector machine multipa ...... nts with resected glioblastoma
@en
type
label
Support vector machine multipa ...... nts with resected glioblastoma
@en
prefLabel
Support vector machine multipa ...... nts with resected glioblastoma
@en
P2093
P2860
P356
P1476
Support vector machine multipa ...... nts with resected glioblastoma
@en
P2093
Geoffrey S Young
Kelvin K Wong
Stephen T Wong
P2860
P304
P356
10.1002/JMRI.22432
P577
2011-02-01T00:00:00Z