273-u-Segment3D: Universal 2D-to-3D Cell Segmentation
The paper introduces u-Segment3D, a novel software toolbox designed for creating universal consensus three-dimensional (3D) segmentations of cells from two-dimensional (2D) segmented stacks derived from microscopy images. This method addresses the significant challenge of 3D cell segmentation, particularly the difficulty of acquiring sufficient, densely annotated 3D training data, by unifying and enhancing existing 2D-to-3D segmentation techniques. The framework, which is compatible with any 2D segmentation method, converts 2D instance segmentations from orthogonal views (x-y, x-z, and y-z…
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