A Decision-Support Tool for Renal Mass Classification

We investigate the viability of statistical relational machine learning algorithms for the task of identifying malignancy of renal masses using radiomics-based imaging features. Features characterizing the texture, signal intensity, and other relevant metrics of the renal mass were extracted from mu...

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Foilsithe in:J Digit Imaging
Main Authors: Kunapuli, Gautam, Varghese, Bino A., Ganapathy, Priya, Desai, Bhushan, Cen, Steven, Aron, Manju, Gill, Inderbir, Duddalwar, Vinay
Formáid: Artigo
Teanga:Inglês
Foilsithe: Springer International Publishing 2018
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Article
Rochtain Ar Líne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6261185/
https://ncbi.nlm.nih.gov/pubmed/29980960
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-018-0100-0
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