Intra-scan inter-tissue variability can help harmonize radiomics features in CT
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00330-021-08154-8.pdf
Reference32 articles.
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2. Park S, Lee SM, Kim S et al (2021) Performance of radiomics models for survival prediction in non-small-cell lung cancer: influence of CT slice thickness. Eur Radiol 31(5):2856–2865. https://doi.org/10.1007/s00330-020-07423-2
3. Berenguer R, Del Rosario P-JM, Canales-Vázquez J et al (2018) Radiomics of CT features may be nonreproducible and redundant: influence of CT acquisition parameters. Radiology 288:407–415. https://doi.org/10.1148/radiol.2018172361
4. Ryan TW (1985) Image segmentation algorithms overview. Archit Algorithms Digit Image Process II 0534:172. https://doi.org/10.1117/12.946577
5. Ger RB, Zhou S, Chi PCM et al (2018) Comprehensive investigation on controlling for CT imaging variabilities in radiomics studies. Sci Rep 8. https://doi.org/10.1038/s41598-018-31509-z
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