2024
DOI: 10.3389/fnins.2024.1411334
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The role of cortical structural variance in deep learning-based prediction of fetal brain age

Hyeokjin Kwon,
Sungmin You,
Hyuk Jin Yun
et al.

Abstract: BackgroundDeep-learning-based brain age estimation using magnetic resonance imaging data has been proposed to identify abnormalities in brain development and the risk of adverse developmental outcomes in the fetal brain. Although saliency and attention activation maps have been used to understand the contribution of different brain regions in determining brain age, there has been no attempt to explain the influence of shape-related cortical structural features on the variance of predicted fetal brain age.Metho… Show more

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