3DBGrowth extends 2D Balanced Growth to 3D MRI vertebrae segmentation and reconstruction, requiring annotation of only 37% of slices while gaining over 5% Dice score over prior methods.
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2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2019 2verdicts
UNVERDICTED 2representative citing papers
BGrowth achieves up to 95% accuracy segmenting 102 crushed and 89 normal vertebrae in MRI, outperforming prior methods even with imprecise initial seeds.
citing papers explorer
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3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging
3DBGrowth extends 2D Balanced Growth to 3D MRI vertebrae segmentation and reconstruction, requiring annotation of only 37% of slices while gaining over 5% Dice score over prior methods.
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BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging
BGrowth achieves up to 95% accuracy segmenting 102 crushed and 89 normal vertebrae in MRI, outperforming prior methods even with imprecise initial seeds.