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[해외논문] Variational Formulation of Unsupervised Deep Learning for Ultrasound Image Artifact Removal

IEEE transactions on ultrasonics, ferroelectrics, and frequency control, v.68 no.6, 2021년, pp.2086 - 2100  

Khan, Shujaat (Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea) ,  Huh, Jaeyoung (Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea) ,  Ye, Jong Chul (Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea)

Abstract AI-Helper 아이콘AI-Helper

Recently, deep learning approaches have been successfully used for ultrasound (US) image artifact removal. However, paired high-quality images for supervised training are difficult to obtain in many practical situations. Inspired by the recent theory of unsupervised learning using optimal transport ...

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