arXiv 2023Template-based training paper →
Brain segmentation from a single template.
U-Net Studio trains a 3D U-Net from one template image with visual-perception augmentation, then skull-strips and segments brain MRI of humans, rhesus monkeys, marmosets, rats and mice. A standalone C++ program, sister tool to DSI Studio.
Pre-release 2023.04.17 · Windows · macOS · Ubuntu · free for academic use (CC BY-NC-SA 4.0)
5species: human, rhesus, marmoset, rat, mouse
9pretrained models
Segment
Output
U-Net Studio can output 3D labels or 4D probabilistic maps for quantifying tissue characteristics. The tissue segmentation includes white matter, gray matter (excluding basal ganglion), basal ganglion, and others.
About
The current version only provides skull-stripping and segmentation of white matter, gray matter, cerebellum cortex, and basal ganglia. More detailed segmentation is under planning.
arXiv · 2023
FC Yeh, "Brain MRI Segmentation using Template-Based Training and Visual Perception Augmentation", arXiv:2308.02363.
arxiv.org/abs/2308.02363 · How to cite
Free for academic or research purposes under CC BY-NC-SA 4.0.