Aariz Cephalometric Dataset
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<b>Abstract</b>We proposed a new state-of-the-art dataset to facilitate the development of robust AI solutions for quantitative morphometric analysis. The dataset includes 1000 lateral cephalometric radiographs (LCRs) obtained from 7 different radiographic imaging devices with varying resolutions, making it the most diverse and comprehensive cephalometric dataset to date. The clinical experts of our team meticulously annotated each radiograph with 29 cephalometric landmarks, including the most significant soft tissue landmarks ever marked in any publicly available dataset. Additionally, our experts also labelled the cervical vertebral maturation (CVM) stage of the patient in a radiograph, making this dataset the first standard resource for CVM classification.<b>Citation</b>If you use this dataset in your research, please consider citing our papers:Khalid, M. A., Zulfiqar, K., Bashir, U., Shaheen, A., Iqbal, R., Rizwan, Z., Rizwan, G., & Fraz, M. M. <b><i>A Benchmark Dataset for Automatic Cephalometric Landmark Detection and CVM Stage Classification</i></b>. <i>Scientific Data </i><b>12</b>, 1336 (2025). https://doi.org/10.1038/s41597-025-05542-3Khalid, M. A., Zulfiqar, K., Bashir, U., Shaheen, A., Iqbal, R., Rizwan, Z., Rizwan, G., & Fraz, M. M. (2022). <b><i>CEPHA29: Automatic Cephalometric Landmark Detection Challenge 2023</i></b>. arXiv preprint arXiv:2212.04808.<br>
<b>摘要</b>本研究提出一款全新的当前最优数据集，以助力鲁棒人工智能解决方案在定量形态计量分析领域的开发。该数据集包含1000张侧位头影测量X光片（lateral cephalometric radiographs, LCRs），采集自7台分辨率各异的放射成像设备，是迄今最为多样化且全面的头影测量数据集。本团队的临床专家逐一对每张X光片进行了精细化标注，共标注29个头影测量标志点，其中涵盖了所有公开可用头影测量数据集中已标注的最具临床意义的软组织标志点。此外，本团队专家还标注了每张X光片中患者的颈椎成熟度（cervical vertebral maturation, CVM）分期，使得该数据集成为首个用于CVM分期分类的标准化资源。<b>引用说明</b>若您在研究中使用本数据集，请引用以下论文：Khalid, M. A., Zulfiqar, K., Bashir, U., Shaheen, A., Iqbal, R., Rizwan, Z., Rizwan, G., & Fraz, M. M. <b><i>用于自动头影测量标志点检测与CVM分期分类的基准数据集</i></b>. <i>Scientific Data</i> <b>12</b>, 1336 (2025). https://doi.org/10.1038/s41597-025-05542-3Khalid, M. A., Zulfiqar, K., Bashir, U., Shaheen, A., Iqbal, R., Rizwan, Z., Rizwan, G., & Fraz, M. M. (2022). <b><i>CEPHA29：2023年自动头影测量标志点检测挑战赛</i></b>. arXiv预印本arXiv:2212.04808.
