Automatic mandible segmentation from CT image using 3D fully convolutional neural network based on DenseASPP and attention gates.

The proposed network has better segmentation performance and realizes accurate and automatic segmentation of the mandible. Furthermore, its segmentation time is 50.43 s for one CT scan, which greatly improves the doctor's work efficiency. It will have practical significance in cranio-maxillofacial surgery in the future.