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Using interpretable rule-learning artificial intelligence to optimally differentiate adrenal pheochromocytomas from adenomas with CT radiomics

Title:	Using interpretable rule-learning artificial intelligence to optimally differentiate adrenal pheochromocytomas from adenomas with CT radiomics
Authors:	Glazer, Daniel I.^{Aff1, Aff2, IDs00261025048930_cor1}; Viator, Melissa^Aff3; Sharp, Andrew^Aff3; Patel, Jay B.^Aff4; Dabiri, Borna E.^{Aff1, Aff2}; Bridge, Christopher P.^Aff4; Barletta, Justine A.^{Aff1, Aff2}; Pianykh, Oleg S.^{Aff5, Aff2}; Mayo-Smith, William W.^{Aff1, Aff2}
Source:	Abdominal Radiology. 50(10):4722-4730
Database:	Springer Nature Journals