Dice comparison of 3D-UNet with BSE, ROBEX and Kleesiek's method on a
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Frontiers Development and validation of a deep learning-based automatic segmentation model for assessing intracranial volume: comparison with NeuroQuant, FreeSurfer, and SynthSeg
Deep Learning in Medical Image Analysis Annual Review of Biomedical Engineering
Biomedical Image Segmentation: U-Net, by Jingles (Hong Jing)
Quantitative comparison of 3D-UNet with BSE, ROBEX and Kleesiek's
Live and Let Dice - A SOLIDWORKS Beginner's Tutorial
PDF) Machine learning for automatic segmentation of neonatal and fetal MR brain images
Biomedical Image Segmentation: U-Net, by Jingles (Hong Jing)
Intracranial volume segmentation for neurodegenerative populations using multicentre FLAIR MRI - ScienceDirect
PDF] 3D U-Net for Skull Stripping in Brain MRI
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