A deep learning algorithm for automated adrenal gland segmentation on non-contrast CT images.
Journal:
BMC medical imaging
PMID:
40312690
Abstract
BACKGROUND: The adrenal glands are small retroperitoneal organs, few reference standards exist for adrenal CT measurements in clinical practice. This study aims to develop a deep learning (DL) model for automated adrenal gland segmentation on non-contrast CT images, and to conduct a preliminary large-scale study on age-related volume changes in normal adrenal glands using the model output values.