Deep learning-based, fully automated, pediatric brain segmentation

Deep learning-based, fully automated, pediatric brain segmentation

Abstract The purpose of this study was to demonstrate the performance of a fully automated, deep learning-based brain segmentation (DLS) method in healthy controls and in patients with neurodevelopmental disorders, SCN1A mutation, under eleven. The whole, cortical, and subcortical volumes of previou...

Full description

Bibliographic Details
Main Authors: Min-Jee Kim, EunPyeong Hong, Mi-Sun Yum, Yun-Jeong Lee, Jinyoung Kim, Tae-Sung Ko
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Scientific Reports
Subjects:
Dravet syndrome
Deep learning-based segmentation
Convolutional neural network
VUNO Med-DeepBrain
Online Access:https://doi.org/10.1038/s41598-024-54663-z

Internet

https://doi.org/10.1038/s41598-024-54663-z

Similar Items