A Mandibular Defect Dataset for Autonomous Reconstruction Planning in Oral and Maxillofacial Surgery

<p dir="ltr"><b>The first</b> clinically derived Mandibular Defect Dataset, comprising <b>147</b> models of <b>various mandibular defects</b>. </p><p dir="ltr">Each model is manually <b>annotated by experienced surgeons</b>, and all processing workflows strictly adhere to clinical standards. This dataset accurately represents the complexity of clinical defect boundaries and the diverse anatomical structures of individual patients, making it a valuable resource for <b>developing AI models</b> that exhibit improved generalizability and adaptability in <b>mandibular reconstruction</b>. Additionally, the dataset provides <b>HCL classification diagnoses</b> and relevant information for each defect model, thereby supporting more diverse clinical research in the future.</p>