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 ajmi; Behzad Forghani; Caroline Reinhold; Maryam Bayat; Reza Forghani

doi:10.1007/s00330-017-5214-0

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 ajmi, Behzad Forghani, Caroline Reinhold, Maryam Bayat, Reza Forghani

Radiology & Molecular Imaging

Research output: Contribution to journal › Article › peer-review

60 Citations (Scopus)

Original language	English
Pages (from-to)	2604-2611
Journal	European Radiology
Volume	28
Issue number	6
DOIs	https://doi.org/10.1007/s00330-017-5214-0
Publication status	Published - Jun 1 2018

Access to Document

10.1007/s00330-017-5214-0

http://link.springer.com/10.1007/s00330-017-5214-0

Cite this

Spectral multi-energy CT texture analysis with machine learning for tissue classification: an investigation using classification of benign parotid tumours as a testing paradigm. / Al ajmi, Eiman; Forghani, Behzad; Reinhold, Caroline et al.
In: European Radiology, Vol. 28, No. 6, 01.06.2018, p. 2604-2611.

Research output: Contribution to journal › Article › peer-review

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