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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Detalles Bibliográficos
Autores principales: Zhang, Yuhan, Li, Xu, Lv, Yang, Gu, Xinquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Grapho Publications, LLC 2020
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7744193/
https://www.ncbi.nlm.nih.gov/pubmed/33364422
http://dx.doi.org/10.18383/j.tom.2020.00039

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7744193/
https://www.ncbi.nlm.nih.gov/pubmed/33364422
http://dx.doi.org/10.18383/j.tom.2020.00039

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