Impact of image preprocessing on the volume dependence and prognostic potential of radiomics features in non-small cell lung cancer
Author(s) -
Xenia Fave,
Lifei Zhang,
Jinzhong Yang,
Dennis Mackin,
Peter Balter,
Daniel de la Rosa Gómez,
D Followill,
A. Kyle Jones,
Francesco C. Stingo,
Laurence E. Court
Publication year - 2016
Publication title -
translational cancer research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 2219-6803
pISSN - 2218-676X
DOI - 10.21037/tcr.2016.07.11
Subject(s) - univariate , resampling , preprocessor , smoothing , feature (linguistics) , pattern recognition (psychology) , histogram , proportional hazards model , artificial intelligence , computer science , radiomics , mathematics , statistics , medicine , multivariate statistics , image (mathematics) , linguistics , philosophy
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