A deep learning pipeline for the automated segmentation of posterior limb of internal capsule in preterm neonates

作者：

Highlights：

• A deep learning pipeline efficiently extracts posterior limb of internal capsule of very preterm neonates in an automated manner.

• Morphometric parameters of the posterior limb of internal capsule on only one level.

• Experts evaluate automatic segmentation as better than human-based segmentation.

摘要

•A deep learning pipeline efficiently extracts posterior limb of internal capsule of very preterm neonates in an automated manner.•Morphometric parameters of the posterior limb of internal capsule on only one level.•Experts evaluate automatic segmentation as better than human-based segmentation.

论文关键词：Deep neural networks,Segmentation,Posterior limb of internal capsule,Premature neonates

论文评审过程：Received 15 October 2021, Revised 8 August 2022, Accepted 19 August 2022, Available online 24 August 2022, Version of Record 30 August 2022.

论文官网地址：https://doi.org/10.1016/j.artmed.2022.102384