Supporting data for “Cone-beam computed tomography imaging for detection and visualization of anatomical landmarks and pathological findings of the maxillary sinus: possibilities and limitations”.

The datasets consist of six sets respectively collected to (1) assess the frequency, location, and morphology of accessory maxillary sinus ostia, (2) assess location and dimensions of mucous retention cysts in the maxillary sinus, (3) assess the performance of a 3D convolutional neural network in automatic detection and segmentation of maxillary sinus lesions on CBCT images, (4) assess the bone graft volume needed for maxillary sinus floor elevation, (5) assess the frequency of and reasons for retaking CBCT scans, and (6) assess patient dose of CBCT scans for different imaging tasks.

该数据集由六个分别收集的集合组成，旨在（1）评估上颌窦副窦开口的频率、位置和形态，（2）评估上颌窦中粘液潴留囊肿的位置和尺寸，（3）评估3D卷积神经网络在CBCT图像上自动检测和分割上颌窦病变的性能，（4）评估上颌窦底提升所需的骨移植体积，（5）评估重新进行CBCT扫描的频率及原因，（6）评估针对不同成像任务CBCT扫描的受检者剂量。