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Detection is solved, delineation is not: what governs tooth segmentation on panoramic radiographs

Rehan, Muhammad et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitionmachine-learning
Automatic tooth segmentation and FDI numbering on panoramic radiographs underpins computer-assisted dental diagnosis, yet which factors govern performance remains unclear. We assemble a corpus of 1,422 panoramic radiographs containing 42,142 expert-delineated tooth polygons across the 32-class FDI t
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