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© 2020 IOP Publishing Ltd.Accurate segmentation of organs-at-risk (OARs) is important for transformative mind and neck (HN) cancer tumors treatment preparation but manual delineation is tedious, sluggish, and inconsistent. A Self-Channel-and-Spatial-Attention neural network (SCSA-Net) is created for HN OARs segmentation on CT images. To simultaneously alleviate the training and increase the segmentation overall performance, the proposed SCSA-