Temporal bone CT imaging is particularly important for diagnosis and treatment of ear diseases,but there are some issues such as insufficient resolution,strong artifacts and low signal-to-noise ratio under low radiation doses,which limit its'clinical application.Recent years,deep learning(DL)had shown great potential in classifying,segmenting and reconstructing medical images,providing new ideas for improving imaging quality of temporal bone CT.The application progresses of DL in temporal bone CT imaging were reviewed in this article.
维普
万方数据