Evaluating the sensitivity and reliability of hippocampal segmentation for dementia using deep learning

Abstract

Background: Deep learning is commonly used for automated hippocampal segmentation from structural MRI in dementia research. However, many studies focus primarily on segmentation accuracy. This study aims to evaluate sensitivity to disease and test‐retest reliability, which are key to clinical readiness, of automated segmentation tools.

The paper