Web: http://arxiv.org/abs/2209.07843

Sept. 19, 2022, 1:14 a.m. | Lin Wang, Xiufen Ye, Donghao Zhang, Wanji He, Lie Ju, Xin Wang, Wei Feng, Kaimin Song, Xin Zhao, Zongyuan Ge

cs.CV updates on arXiv.org arxiv.org

Three-dimensional (3D) images, such as CT, MRI, and PET, are common in
medical imaging applications and important in clinical diagnosis. Semantic
ambiguity is a typical feature of many medical image labels. It can be caused
by many factors, such as the imaging properties, pathological anatomy, and the
weak representation of the binary masks, which brings challenges to accurate 3D
segmentation. In 2D medical images, using soft masks instead of binary masks
generated by image matting to characterize lesions can provide …

arxiv segmentation

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