Machine learning for differentiation of lipid-poor adrenal adenoma and subclinical pheochromocytoma based on multiphase CT imaging radiomics

BACKGROUND: There is a paucity of research investigating the application of machine learning techniques for distinguishing between lipid-poor adrenal adenoma (LPA) and subclinical pheochromocytoma (sPHEO) based on radiomic features extracted from non-contrast and dynamic contrast-enhanced computed t...

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Detalles Bibliográficos
Autores principales: Xiao, Dao-xiong, Zhong, Jian-ping, Peng, Ji-dong, Fan, Cun-geng, Wang, Xiao-chun, Wen, Xing-lin, Liao, Wei-wei, Wang, Jun, Yin, Xiao-feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10580667/
https://www.ncbi.nlm.nih.gov/pubmed/37845636
http://dx.doi.org/10.1186/s12880-023-01106-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10580667/
https://www.ncbi.nlm.nih.gov/pubmed/37845636
http://dx.doi.org/10.1186/s12880-023-01106-2

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