Web: http://arxiv.org/abs/2205.05898

May 13, 2022, 1:10 a.m. | Ho Hin Lee, Yucheng Tang, Riqiang Gao, Qi Yang, Xin Yu, Shunxing Bao, James G. Terry, J. Jeffrey Carr, Yuankai Huo, Bennett A. Landman

cs.CV updates on arXiv.org arxiv.org

Non-contrast computed tomography (NCCT) is commonly acquired for lung cancer
screening, assessment of general abdominal pain or suspected renal stones,
trauma evaluation, and many other indications. However, the absence of contrast
limits distinguishing organ in-between boundaries. In this paper, we propose a
novel unsupervised approach that leverages pairwise contrast-enhanced CT (CECT)
context to compute non-contrast segmentation without ground-truth label. Unlike
generative adversarial approaches, we compute the pairwise morphological
context with CECT to provide teacher guidance instead of generating fake
anatomical …

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