review Open AccessTop 1% cited
Radiomics: Extracting more information from medical images using advanced feature analysis
European Journal of Cancer · 2012 · Vol. 48(4) · pp. 441–446
Philippe Lambin✉(Maastricht University Medical Centre)Emmanuel Rios-Velazquez(Maastricht University)Ralph T. H. Leijenaar(Maastricht University)Sara Carvalho(Maastricht University)Ruud G.P.M. van Stiphout(Maastricht University)Patrick V. Granton(Maastricht University)Catharina M.L. Zegers(Maastricht University)Robert J. Gillies(Moffitt Cancer Center)Ronald Boellard(Amsterdam UMC Location Vrije Universiteit Amsterdam)André Dekker(Maastricht University)Hugo J.W.L. Aerts(Maastricht University)
Radiomics and Machine Learning in Medical ImagingAdvanced X-ray and CT ImagingAI in cancer detectionRadiomicsFeature (linguistics)Artificial intelligenceComputer sciencePattern recognition (psychology)Medicine
MeSH terms
AlgorithmsDiagnostic ImagingHumansImage Processing, Computer-AssistedModels, BiologicalPattern Recognition, AutomatedRadioactive TracersRadiometryGenomicsProteomicsHigh-Throughput Screening Assays
Funding
- European Federation of Pharmaceutical Industries and Associations
- KWF Kankerbestrijding
- Center for Translational Molecular Medicine
- Interreg
Citations
5,765
FWCI
33.16
field-weighted impact
References
21
Percentile
100%
vs. same field & year
Citations per year
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References
New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)
European Journal of Cancer · 2008 · 28,935 citations
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