Slice-selective learning for Alzheimer's disease classification using a generative adversarial network: a feasibility study of external validation.

Purpose: The aim of this feasibility study was to use slice selective learning using a Generative Adversarial Network for external validation. We aimed to build a model less sensitive to PET imaging acquisition environment, since differences in environments negatively influence network performance....

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Bibliographic Details

Published in:	European Journal of Nuclear Medicine & Molecular Imaging Vol. 47; no. 9; pp. 2197 - 2207
Main Authors:	Kim, Han Woong, Lee, Ha Eun, Lee, Sangwon, Oh, Kyeong Taek, Yun, Mijin, Yoo, Sun Kook
Format:	Journal Article
Published:	Springer Nature Aug2020
Online Access:	View this record in EBSCOhost