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Sep, 2023
3D-U-SAM网络用于CBCT图像中的少样本牙齿分割
3D-U-SAM Network For Few-shot Tooth Segmentation in CBCT Images
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Yifu Zhang, Zuozhu Liu, Yang Feng, Renjing Xu
TL;DR
准确的牙位表示在治疗中非常重要。用于三维牙齿图像分割的预训练SAM和我们提出的三维牙齿图像分割网络3D-U-SAM解决了样本稀缺的问题，并通过削减逼近方法和U-Net参考的跳跃连接来提高细节保留能力。通过消融实验、对比实验和样本大小实验证明了该方法的有效性。
Abstract
accurate representation
of tooth position is extremely important in treatment.
3d dental image segmentation
is a widely used method, however labelled 3D dental datasets are a scarce resource, leading to the probl
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