Predicting survival time of lung cancer patients using radiomic analysis.

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Predicting survival time of lung cancer patients using radiomic analysis.

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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2017年学术文章

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2017年学术文章

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Predicting survival time of lung cancer patients using radiomic analysis.

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Predicting survival time of lung cancer patients using radiomic analysis.

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Predicting survival time of lung cancer patients using radiomic analysis.

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Predicting survival time of lung cancer patients using radiomic analysis.

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Predicting survival time of lung cancer patients using radiomic analysis.

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Predicting survival time of lung cancer patients using radiomic analysis.

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P1476

Predicting survival time of lung cancer patients using radiomic analysis.

@en

P2093

Bassam Abdulkarim

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Christian Desrosiers

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Matthew Toews

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P2860

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review

Global cancer statistics, 2012

Non-small cell lung cancer: epidemiology, risk factors, treatment, and survivorship

TCIA: An information resource to enable open science

The meaning and use of the area under a receiver operating characteristic (ROC) curve

Delta-radiomics features for the prediction of patient outcomes in non-small cell lung cancer

Texture analysis of non-small cell lung cancer on unenhanced computed tomography: initial evidence for a relationship with tumour glucose metabolism and stage.

Are pretreatment 18F-FDG PET tumor textural features in non-small cell lung cancer associated with response and survival after chemoradiotherapy?

CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma

P304

104393-104407

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P31

scholarly article

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10.18632/ONCOTARGET.22251

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English

P433

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P478

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Ahmad Chaddad

P577

2017-11-01T00:00:00Z

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29262648

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5732814

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