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Hiroshima University Reports Findings in Computers [Stepwise deep neural network (stepwise-net) for head and neck auto-segmentation on CT images]

机译:广岛大学报道发现在电脑(逐步深层神经网络(stepwise-net)头部和颈部auto-segmentation CT图像)

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摘要

By a News Reporter-Staff News Editor at Network Daily News - New research on Computers is the subject of a report. According to news reporting originating from Hiroshima, Japan, by NewsRx correspondents, research stated, “The current study aims to propose the auto-segmentation model on CT images of head and neck cancer using a stepwise deep neural network (stepwise-net). Six normal tissue structures in the head and neck region of 3D CT images: Brainstem, optic nerve, parotid glands (left and right), and submandibular glands (left and right) were segmented with deep learning.”
机译:由一个新闻记者在网络新闻编辑每日新闻——新研究电脑报告的主题。由NewsRx来自广岛、日本记者,研究指出:“当前研究旨在提出auto-segmentation模型头部和颈部癌症的CT图像上使用逐步深层神经网络(stepwise-net)。正常组织结构在头部和颈部地区的三维CT图像:脑干,视神经,腮腺腺体(左和右),颌下腺(左和右)分割与深度学习。”

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