Automatic segmentation of orbital wall from CT images via a thin wall region supervision-based multi-scale feature search network

ConclusionIn the proposed network, the average segmentation time of each orbital wall is only 4.05  s, obviously improving the segmentation efficiency of doctors. In the future, it may have a practical significance in clinical applications such as preoperative planning for orbital reconstruction, orbital modeling, orbital implant design, and so on.
Source: International Journal of Computer Assisted Radiology and Surgery - Category: Intensive Care Source Type: research