#cbct News & Analysis

2 articles tagged with #cbct. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · Jun 96/10

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Self-Supervised Vision Transformers for CBCT-Based Detection of Temporomandibular Joint Osteoarthritis

Researchers demonstrate that self-supervised Vision Transformers, particularly the DINO family, can effectively detect temporomandibular joint osteoarthritis from cone-beam CT scans with 90.2% AUC when partially adapted. The study shows that strategic backbone unfreezing of final transformer blocks outperforms fully frozen models and supervised baselines, providing practical guidance for deploying foundation models in medical imaging with limited training data.

AIBullisharXiv – CS AI · Feb 276/104

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HARU-Net: Hybrid Attention Residual U-Net for Edge-Preserving Denoising in Cone-Beam Computed Tomography

Researchers developed HARU-Net, a novel AI architecture for denoising cone-beam computed tomography (CBCT) medical images that outperforms existing state-of-the-art methods while using less computational resources. The system addresses critical noise issues in low-dose dental and maxillofacial imaging by combining hybrid attention mechanisms with residual U-Net architecture.