A radiomic signature as a non-invasive predictor of progression-free survival in patients with lower-grade gliomas

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A radiomic signature as a non-invasive predictor of progression-free survival in patients with lower-grade gliomas

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wetenschappelijk artikel

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наукова стаття, опублікована в жовтні 2018

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A radiomic signature as a non- ...... ients with lower-grade gliomas

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A radiomic signature as a non- ...... ients with lower-grade gliomas

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A radiomic signature as a non- ...... ients with lower-grade gliomas

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A radiomic signature as a non- ...... ients with lower-grade gliomas

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A radiomic signature as a non- ...... ients with lower-grade gliomas

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A radiomic signature as a non- ...... ients with lower-grade gliomas

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P1476

A radiomic signature as a non- ...... ients with lower-grade gliomas

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Kai Wang

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Kaibin Xu

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Shaowu Li

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Shuai Liu

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Tao Jiang

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Xing Fan

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Xing Liu

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Yiming Li

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Yinyan Wang

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Zenghui Qian

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P2860

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

The 2007 WHO classification of tumours of the central nervous system

Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas.

Survival and prognostic factors of anaplastic gliomas.

Radiomic feature clusters and prognostic signatures specific for Lung and Head & Neck cancer.

Radiomics: Images Are More than Pictures, They Are Data.

Prognostic value and reproducibility of pretreatment CT texture features in stage III non-small cell lung cancer.

Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma.

Stability of FDG-PET Radiomics features: an integrated analysis of test-retest and inter-observer variability

Introduction of High Throughput Magnetic Resonance T2-Weighted Image Texture Analysis for WHO Grade 2 and 3 Gliomas.

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1070-1077

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scholarly article

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10.1016/J.NICL.2018.10.014

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English

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P577

2018-10-16T00:00:00Z

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30366279

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6202688

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