Infant brain imaging relies on quality brain segmentations
One way to segment an infant's brain is to use structural MR images and create annotations that segment tissue types, such as white matter (WM), gray matter (GM), cerebrospinal fluid (CSF), and subcortical structures7.
Mar 24, 2023
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A review on automatic fetal and neonatal brain MRI segmentation
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Apr 15, 2018 · We present a comprehensive review of perinatal brain MRI segmentation methods. A detailed classification of techniques is proposed based on methodology.
In this paper, we present an automated, deep learning-based pipeline for accurate segmentation of tissues from neonatal brain MRI and extend it by introducing ...
Sep 1, 2015 · Segmentation of neonatal brain MR images serves as the first step towards volumetric studies and quantitative analyses. Apart from simple volume ...
Apr 15, 2018 · In this paper, we review methods adopted for the perinatal brain and categorise them according to the target population, structures segmented and methodology.
Automated neonatal nnU-Net brain MRI extractor trained on a large ...
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Feb 26, 2024 · We created an automatic deep learning-based neonatal brain extraction algorithm that demonstrates accurate performance with both high- and low-resolution MRIs ...
In this work, we aim to predict tissue segmentation maps on T2-weighted magnetic resonance imaging data of an unseen preterm-born neonatal population, which ...
A fully automated method has been developed for segmentation of four different structures in the neonatal brain: white matter (WM), central gray matter ...
Segmenting neonatal brain images is challenging due to reduced MR signal-intensity contrast between tissues of interest compared to older subjects.
Jun 15, 2023 · Segmenting the newborn brain allows the model to produce volumetric characterization as well as more detailed quantification of grey and white ...
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