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Review of Value of CT Texture Analysis and Machine Learning in Differentiating Fat-Poor Renal Angiomyolipoma from Renal Cell Carcinoma

The diagnosis of patients with suspected angiomyolipoma relies on the detection of abundant macroscopic intralesional fat, which is always of no use to differentiate fat-poor angiomyolipoma (fp-AML) from renal cell carcinoma and diagnosis of fp-AML excessively depends on individual experience. Textu...

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Vydáno v:Tomography
Hlavní autoři: Zhang, Yuhan, Li, Xu, Lv, Yang, Gu, Xinquan
Médium: Artigo
Jazyk:Inglês
Vydáno: Grapho Publications, LLC 2020
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7744193/
https://ncbi.nlm.nih.gov/pubmed/33364422
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18383/j.tom.2020.00039
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