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  1. No Access

    Chapter and Conference Paper

    Combining Self-training and Hybrid Architecture for Semi-supervised Abdominal Organ Segmentation

    Abdominal organ segmentation has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis. However, manually annotating organs from CT scans is time-consumin...

    Wentao Liu, Wei** Xu, Songlin Yan… in Fast and Low-Resource Semi-supervised Abdo… (2022)

  2. No Access

    Chapter and Conference Paper

    PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation

    The success of Transformer in computer vision has attracted increasing attention in the medical imaging community. Especially for medical image segmentation, many excellent hybrid architectures based on convol...

    Wentao Liu, Tong Tian, Wei** Xu… in Medical Image Computing and Computer Assis… (2022)