Survival prediction of non-small cell lung cancer patients using radiomics analyses of cone-beam CT images

Author:

van Timmeren Janna E.,Leijenaar Ralph T.H.,van Elmpt Wouter,Reymen Bart,Oberije Cary,Monshouwer René,Bussink Johan,Brink Carsten,Hansen Olfred,Lambin Philippe

Funder

ERC

EFPI

Innovative Medicine Initiative Joint Undertaking

Dutch Technology Foundation STW

EU 7th framework program

SME Phase 2

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,Oncology,Hematology

Reference35 articles.

1. Global cancer statistics, 2012;Torre;CA Cancer J Clin,2015

2. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012;Ferlay;Int J Cancer,2015

3. Predicting outcomes in radiation oncology–multifactorial decision support systems;Lambin;Nat Rev Clin Oncol,2013

4. Rapid Learning health care in oncology' – an approach towards decision support systems enabling customised radiotherapy;Lambin;Radiother Oncol,2013

5. Decision support systems for personalized and participative radiation oncology;Lambin;Adv Drug Deliv Rev,2016

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