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Progressive Generative Adversarial Networks: Deep Learning in Head and Neck Cancer CT Images to Synthesized PET Images Generation for Hybrid PET/CT Application

机译：渐进生成的对抗网络：头部和颈部癌症CT图像的深度学习，用于杂交PET / CT应用的合成PET图像

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Bin HUANG; Zhe-wei CHEN; Martin LAW; Shi-ting FENG; Qiao-liang LI; Bing-sheng HUANG;
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年度 2018
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1. Multi‐sequence MR image‐based synthetic CT generation using a generative adversarial network for head and neck MRI‐only radiotherapy [J] . Qi Mengke, Li Yongbao, Wu Aiqian, Medical Physics . 2020,第4期

机译：基于多序MR图像的合成CT生成，用于头部和颈部MRI放射治疗的生成对抗性网络
2. Next generation research applications for hybrid PET/MR and PET/CT imaging using deep learning [J] . Zaharchuk Greg European Journal of Nuclear Medicine and Molecular Imaging . 2019,第13期

机译：使用深度学习的混合宠物/ MR和PET / CT成像的下一代研究应用
3. Robustness of Conditional Generative Adversarial Networks in Generating Head and Neck Synthetic CT Images for MR-Only Radiotherapy Treatment Planning [J] . Klages P., Benslimane I., Riyahi S., Medical Physics . 2019,第6期

机译：用于MR-News合成CT图像的有条件生成对抗网络的鲁棒性，仅针对仅用于针刺放射治疗计划
4. Tumor Segmentation in Patients with Head and Neck Cancers Using Deep Learning Based-on Multi-modality PET/CT Images [C] . Mohamed A. Naser, Lisanne V. van Dijk, Renjie He, Challenge Conference on 3D Head and Neck Tumor Segmentation in PET/CT Challenge;International Conference on Medical Image Computing and Computer Assisted Intervention . 2020

机译：基于多种式宠物/ CT图像的深度学习患者肿瘤细分
5. Automated Segmentation of Head and Neck Cancer Using Texture Analysis with Co-registered PET/CT images [D] . Yu, Huan 2010

机译：使用纹理分析和共同注册的PET / CT图像自动分割头颈癌
6. Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks [O] . Atsushi Teramoto, Tetsuya Tsukamoto, Ayumi Yamada, 2020

机译：深层学习方法肺细胞学图像分类：使用实际和合成图像的两步训练通过逐步生长的生长生长育种网络
7. Deep learning-based auto-delineation of gross tumour volumes and involved nodes in PET/CT images of head and neck cancer patients [O] . Yngve Mardal Moe, Aurora Rosvoll Groendahl, Oliver Tomic, 2021

机译：基于深度学习的自动描绘总肿瘤卷和涉及头部和颈部癌症患者PET / CT图像中的节点

Progressive Generative Adversarial Networks: Deep Learning in Head and Neck Cancer CT Images to Synthesized PET Images Generation for Hybrid PET/CT Application

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