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Spectral multi-energy CT texture analysis with machine learning for tissue classification: an investigation using classification of benign parotid tumours as a testing paradigm.

Eiman Al AjmiBehzad ForghaniCaroline ReinholdMaryam BayatReza Forghani
Published in: European radiology (2018)
• We present and validate a paradigm for texture analysis of DECT scans. • Multi-energy dataset texture analysis is superior to single-energy dataset texture analysis. • DECT texture analysis has high accura\cy for diagnosis of benign parotid tumours. • DECT texture analysis with machine learning can enhance non-invasive diagnostic tumour evaluation.
Keyphrases
  • machine learning
  • contrast enhanced
  • deep learning
  • computed tomography
  • magnetic resonance imaging
  • optical coherence tomography
  • positron emission tomography
  • data analysis