A cGAN-based network for depth estimation from bronchoscopic images

ConclusionsIncluding virtual and real bronchoscopic images in the training phase of the depth estimation networks can improve depth estimation ’s performance on both synthetic and real scenes. Further validation of this work is planned on 3D clinical phantoms. Based on the depth estimation results obtained in this work, the accuracy of locating bronchoscopes with corresponding pre-operative CTs will also be evaluated in comparison with t he current clinical status.
Source: International Journal of Computer Assisted Radiology and Surgery - Category: Intensive Care Source Type: research