Learning from scanners: Bias reduction and feature correction in radiomics

PURPOSE: Radiomics are quantitative features extracted from medical images. Many radiomic features depend not only on tumor properties, but also on non-tumor related factors such as scanner signal-to-noise ratio (SNR), reconstruction kernel and other image acquisition settings. This causes undesirab...

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Bibliografiska uppgifter
I publikationen:Clin Transl Radiat Oncol
Huvudupphovsmän: Zhovannik, Ivan, Bussink, Johan, Traverso, Alberto, Shi, Zhenwei, Kalendralis, Petros, Wee, Leonard, Dekker, Andre, Fijten, Rianne, Monshouwer, René
Materialtyp: Artigo
Språk:Inglês
Publicerad: Elsevier 2019
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Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC6690665/
https://ncbi.nlm.nih.gov/pubmed/31417963
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ctro.2019.07.003
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