Application of a machine learning approach to characterization of liver function using 99mTc-GSA SPECT/CT.

Purpose: To assess the utility of a machine-learning approach for predicting liver function based on technetium-99 m-galactosyl serum albumin (99mTc-GSA) single photon emission computed tomography (SPECT)/CT. Methods: One hundred twenty-eight patients underwent a 99mTc-GSA SPECT/CT-based liver funct...

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Bibliographic Details

Published in:	Abdominal Radiology Vol. 46; no. 7; pp. 3184 - 3193
Main Authors:	Nakajo, Masatoyo, Jinguji, Megumi, Tani, Atsushi, Hirahara, Daisuke, Nagano, Hiroaki, Takumi, Koji, Yoshiura, Takashi
Format:	Journal Article
Published:	Springer Nature Jul2021
Online Access:	View this record in EBSCOhost