Automated neonatal nnU-Net brain MRI extractor trained on a large multi-institutional dataset

Automated neonatal nnU-Net brain MRI extractor trained on a large multi-institutional dataset

Abstract Brain extraction, or skull-stripping, is an essential data preprocessing step for machine learning approaches to brain MRI analysis. Currently, there are limited extraction algorithms for the neonatal brain. We aim to adapt an established deep learning algorithm for the automatic segmentati...

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Bibliographic Details
Main Authors: Joshua V. Chen, Yi Li, Felicia Tang, Gunvant Chaudhari, Christopher Lew, Amanda Lee, Andreas M. Rauschecker, Aden P. Haskell-Mendoza, Yvonne W. Wu, Evan Calabrese
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-54436-8

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https://doi.org/10.1038/s41598-024-54436-8

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