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Found 4 papers, 1 papers with code
Clustering large 3D volumes: A sampling-based approach
In this work, we introduce a novel clustering technique based on random sampling, which allows for the voxelwise classification of arbitrarily large volumes.
Feature-Adaptive Interactive Thresholding of Large 3D Volumes
Thresholding is the most widely used segmentation method in volumetric image processing, and its pointwise nature makes it attractive for the fast handling of large three-dimensional samples.
Geometric Active Learning for Segmentation of Large 3D Volumes
Segmentation, i. e., the partitioning of volumetric data into components, is a crucial task in many image processing applications ever since such data could be generated.
A New Hip Fracture Risk Index Derived from FEA-Computed Proximal Femur Fracture Loads and Energies-to-Failure
The results showed that the average of the area under the receive operating characteristic curve (AUC) using PC1 was always higher than that using all FE parameters combined in the male subjects.
