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首页> 外文期刊>Network Daily News >Princess Nourah bint Abdulrahman University Reports Findings in Head and Neck Cancer (Attention-aware 3D U-Net convolutional neural network for knowledge-based planning 3D dose distribution prediction of head-and-neck cancer)
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Princess Nourah bint Abdulrahman University Reports Findings in Head and Neck Cancer (Attention-aware 3D U-Net convolutional neural network for knowledge-based planning 3D dose distribution prediction of head-and-neck cancer)

机译:Nourah Bint Abdulrahman大学公主报告了头颈癌的发现(注意3D U-NET卷积神经网络基于知识的计划3D剂量分布的头颈癌预测)

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摘要

By a News Reporter-Staff News Editor at Network Daily News - New research on Oncology - Head and Neck Cancer is the subject of a report. According to news reporting originating from Riyadh, Saudi Arabia, by NewsRx correspondents, research stated, “Deep learning-based knowledge-based planning (KBP) methods have been introduced for radiotherapy dose distribution prediction to reduce the planning time and maintain consistent high-quality plans. This paper presents a novel KBP model using an attention-gating mechanism and a three-dimensional (3D) U-Net for intensity-modulated radiation therapy (IMRT) 3D dose distribution prediction in head-and-neck cancer.”
机译:由Network Daily News的新闻记者播放器新闻编辑 - 关于肿瘤学的新研究 - 头颈癌是报告的主题。 根据新闻Riyadh的新闻报道,新闻Riyadh由NewsRX通讯员进行,研究指出:“基于深度学习的基于知识的计划(KBP)方法已引入放射疗法剂量分配预测,以减少计划时间并保持一致的高质量 计划。 本文使用注意力门控机制和三维(3D)U-NET提出了一种新型的KBP模型,用于强度调节放射治疗(IMRT)3D剂量分布预测头颈癌。”

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