most citedSparse Anatomical Prompt Semi-Supervised Learning with Masked Image Modeling for CBCT Tooth Segmentation

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CV2024★ 2 cited

Sparse Anatomical Prompt Semi-Supervised Learning with Masked Image Modeling for CBCT Tooth Segmentation

Pengyu Dai, Yafei Ou, Yuqiao Yang +2

Accurate tooth identification and segmentation in Cone Beam Computed Tomography (CBCT) dental images can significantly enhance the efficiency and precision of manual diagnoses perf…