Abstract: Supervised methods on 3D medical image segmentation need large amounts of annotated data, but annotating is time-consuming. Also, existing 3D segmentation methods capture more global ...
Deep learning (DL) enables automated bone segmentation in micro-CT datasets but can struggle to generalize across developmental stages, anatomical regions, and imaging conditions. We present BP-2D-03, ...
BOSL2 introduces the concept of "attachables." You can do the following things with attachable shapes: Control where the shape appears and how it is oriented by anchoring and specifying orientation ...
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