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Found 3 papers, 1 papers with code
Brain Surface Reconstruction from MRI Images Based on Segmentation Networks Applying Signed Distance Maps
Whole-brain surface extraction is an essential topic in medical imaging systems as it provides neurosurgeons with a broader view of surgical planning and abnormality detection.
A Two-step Surface-based 3D Deep Learning Pipeline for Segmentation of Intracranial Aneurysms
In this study, we offer a two-step surface-based deep learning pipeline that achieves significantly higher performance.
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
In this paper, instead of 2D medical images, we introduce an open-access 3D intracranial aneurysm dataset, IntrA, that makes the application of points-based and mesh-based classification and segmentation models available.
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