Revolutionizing Tooth Segmentation with a Groundbreaking Multimodal Dental Dataset

Posted: January 20, 2025
The article introduces a novel multimodal dataset, STS-Tooth, for Semi-supervised Tooth Segmentation in dental PXI and CBCT images. The dataset includes STS-2D-Tooth with 4,000 images and 900 masks, and STS-3D-Tooth with 148,400 unlabeled CBCT scans and 8,800 masks. This dataset is a significant advancement in tooth segmentation, providing valuable tools for diagnosing and treating dental conditions using deep learning techniques.

This article summary was generated by AI. To view the full article, click the link here: https://pubmed.ncbi.nlm.nih.gov/39833232/
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