Light mixed‐supervised segmentation for 3D medical image data
Hongxu Yang,
Tao Tan,
Pal Tegzes
et al.
Abstract:BackgroundAccurate 3D semantic segmentation models are essential for many clinical applications. To train a model for 3D segmentation, voxel‐level annotation is necessary, which is expensive to obtain due to laborious work and privacy protection. To accurately annotate 3D medical data, such as MRI, a common practice is to annotate the volumetric data in a slice‐by‐slice contouring way along principal axes.PurposeIn order to reduce the annotation effort in slices, weakly supervised learning with a bounding box … Show more
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