Texture analysis of iodine maps and conventional images for k-nearest neighbor classification of benign and metastatic lung nodules

Texture analysis of iodine maps and conventional images for k-nearest neighbor classification of benign and metastatic lung nodules

Abstract Background The purpose of this study was to analyze if the use of texture analysis on spectral detector CT (SDCT)-derived iodine maps (IM) in addition to conventional images (CI) improves lung nodule differentiation, when being applied to a k-nearest neighbor (KNN) classifier. Methods 183 c...

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Bibliographic Details
Main Authors: Simon Lennartz, Alina Mager, Nils Große Hokamp, Sebastian Schäfer, David Zopfs, David Maintz, Hans Christian Reinhardt, Roman K. Thomas, Liliana Caldeira, Thorsten Persigehl
Format: Article
Language:English
Published: BMC 2021-01-01
Series:Cancer Imaging
Subjects:
Lung nodules
Staging
Diagnosis
Differentiation
Dual-energy CT
Spectral detector CT
Online Access:https://doi.org/10.1186/s40644-020-00374-3

Internet

https://doi.org/10.1186/s40644-020-00374-3

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