The effects of segmentation algorithms on the measurement of 18F-FDG PET texture parameters in non-small cell lung cancer

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The effects of segmentation algorithms on the measurement of 18F-FDG PET texture parameters in non-small cell lung cancer

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The effects of segmentation al ...... in non-small cell lung cancer

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The effects of segmentation al ...... in non-small cell lung cancer

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The effects of segmentation al ...... in non-small cell lung cancer

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P1476

The effects of segmentation al ...... in non-small cell lung cancer

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P2093

David Landau

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Gurdip Azad

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Muhammad Musib Siddique

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Nikheel Patel

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Paul Bassett

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Saana Dhillon

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P2860

A review on segmentation of positron emission tomography images

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A fuzzy locally adaptive Bayesian segmentation approach for volume determination in PET.

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

18F-FDG PET uptake characterization through texture analysis: investigating the complementary nature of heterogeneity and functional tumor volume in a multi-cancer site patient cohort.

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.

Predicting adenocarcinoma recurrence using computational texture models of nodule components in lung CT.

The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis.

Variability of Image Features Computed from Conventional and Respiratory-Gated PET/CT Images of Lung Cancer.

P2888

s13550-017-0310-3

P304

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P31

scholarly article

P356

10.1186/S13550-017-0310-3

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P433

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P478

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P50

Gary Cook

Vicky Goh

Usman Bashir

P577

2017-07-26T00:00:00Z

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P6179

1090901083

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P698

28748524

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P932

5529305

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