Automatic segmentation of head and neck organs at risk based on three-dimensional U-NET deep convolutional neural network

X Dai, X Wang, L Du, N Ma, S Xu, B Cai… - Sheng wu yi xue …, 2020 - europepmc.org
勾画危及器官是放射治疗中的重要环节. 目前人工勾画的方式依赖于医生的知识和经验,
非常耗时且难以保证勾画准确性, 一致性和重复性. 为此, 本研究提出一种深度卷积神经网络 …

[HTML][HTML] 基于三维U-NET 深度卷积神经网络的头颈部危及器官的自动勾画

相昆戴, 小深王, 乐辉杜, 娜马, 寿平徐… - Sheng Wu Yi Xue …, 2020 - ncbi.nlm.nih.gov
勾画危及器官是放射治疗中的重要环节。 目前人工勾画的方式依赖于医生的知识和经验,
非常耗时且难以保证勾画准确性、 一致性和重复性。 为此, 本研究提出一种深度卷积神经网络 …

Multi-scale 3D convolutional neural network-based segmentation of head and neck organs at risk

G Mu, Y Yang, Y Gao, Q Feng - Nan Fang yi ke da xue xue bao …, 2020 - europepmc.org
Objective To establish an algorithm based on 3D convolution neural network to segment the
organs at risk (OARs) in the head and neck on CT images. Methods We propose an …

[HTML][HTML] 鼻咽癌放疗临床靶区人工智能勾画模型的训练及验证研究

何容, 陈川, 李梦侠, 肖何, 钟良志, 张岸梅, 谭本旭… - 2022 - aammt.tmmu.edu.cn
目的利用人工智能(artificial intelligence, AI) 技术创建一套鼻咽癌临床靶区(clinical target
volume, CTV) 勾画模型, 即AI+ CTV 模型, 以提高鼻咽癌勾画效率和不同层级放疗单位 …

Accurate and robust auto‐segmentation of head and neck organ‐at‐risks based on a novel CNN fine‐tuning workflow

S Luan, K Wu, Y Wu, B Zhu, W Wei… - Journal of Applied …, 2024 - Wiley Online Library
Purpose Obvious inconsistencies in auto‐segmentations exist among various AI software. In
this study, we have developed a novel convolutional neural network (CNN) fine‐tuning …

A fully automatic CT images segmentation method for organs at risk in head and neck

M Hongdong, C Guogang, C Ying… - 2021 6th International …, 2021 - ieeexplore.ieee.org
Radiotherapy is one of most treatments for tumors. To accurately control the radiation dose
distribution and lessen the radiation damage to normal tissues and organs in radiotherapy, it …

PCG-net: feature adaptive deep learning for automated head and neck organs-at-risk segmentation

S Luan, C Wei, Y Ding, X Xue, W Wei, X Yu… - Frontiers in …, 2023 - frontiersin.org
Introduction Radiation therapy is a common treatment option for Head and Neck Cancer
(HNC), where the accurate segmentation of Head and Neck (HN) Organs-AtRisks (OARs) is …

[引用][C] 基于3D 深度残差全卷积网络的头颈CT 放疗危及器官自动勾画

田娟秀, 刘国才, 谷珊珊, 顾冬冬, 龚军辉 - 中国生物医学工程学报, 2019

[引用][C] 深度卷积神经网络在头颈部肿瘤小体积危及器官自动勾画中的应用

康盛伟, 吴骏翔, 唐斌, 杨凤, 侯氢 - 中华肿瘤防治杂志, 2022

[引用][C] 利用深度反卷积神经网络自动勾画放疗危及器官

门阔, 戴建荣 - 中国医学物理学杂志, 2018