AI RESEARCH
Adaptive Texture-aware Masking for Self-Supervised Learning in 3D Dental CBCT Analysis
arXiv CS.CV
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ArXi:2605.01741v1 Announce Type: new Cone Beam Computed Tomography (CBCT) is pivotal for 3D diagnostic imaging in dentistry. However, the development of robust AI models for volumetric analysis is often constrained by the scarcity of large, annotated datasets. Self-supervised learning (SSL), particularly Masked Image Modeling (MIM), offers a promising pathway to leverage unlabeled data.