Deep Convolutional Neural Networks With Transfer Learning for Rectum Toxicity Prediction in Combined Brachytherapy and External Beam Radiation Therapy for Cervical Cancer

Zhen X.; Chen J.; Zhong Z.; Hrycushko B. A.; Albuquerque K.; Zhou L.; Jiang S. B.; Gu X.

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Deep Convolutional Neural Networks With Transfer Learning for Rectum Toxicity Prediction in Combined Brachytherapy and External Beam Radiation Therapy for Cervical Cancer

机译：宫颈癌联合大学生术后直肠毒性预测的深度卷积神经网络及外梁辐射治疗宫颈癌

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来源
《International Journal of Radiation Oncology, Biology, Physics》 |2017年第2suppla期|共1页
作者
Zhen X.; Chen J.; Zhong Z.; Hrycushko B. A.; Albuquerque K.; Zhou L.; Jiang S. B.; Gu X.;
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作者单位

Univ Texas Southwestern Med Ctr Dallas Dept Radiat Oncol Dallas TX 75390 USA;

Southern Med Univ Dept Biomed Engn Guangzhou Guangdong Peoples R China;

Wayne State Univ Dept Comp Sci Detroit MI 48202 USA;

Univ Texas Southwestern Med Ctr Dallas Dallas TX 75390 USA;

Univ Texas Southwestern Med Ctr Dallas Dept Radiat Oncol Dallas TX 75390 USA;

Southern Med Univ Dept Biomed Engn Guangzhou Guangdong Peoples R China;

Univ Texas Southwestern Med Ctr Dallas Dallas TX 75390 USA;

Univ Texas Southwestern Med Ctr Dallas Dallas TX 75390 USA;

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原文格式 PDF
正文语种 eng
中图分类放射医学;
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1. Deep Convolutional Neural Networks With Transfer Learning for Rectum Toxicity Prediction in Combined Brachytherapy and External Beam Radiation Therapy for Cervical Cancer [J] . Zhen X., Chen J., Zhong Z., International Journal of Radiation Oncology, Biology, Physics . 2017,第2Suppla期

机译：宫颈癌联合大学生术后直肠毒性预测的深度卷积神经网络及外梁辐射治疗宫颈癌
2. Comment on 'Deep convolutional neural network with transfer learning for rectum toxicity prediction in cervical cancer radiotherapy: a feasibility study' [J] . Valdes Gilmer, Interian Yannet Physics in medicine and biology. . 2018,第6期

机译：宫颈癌放射治疗直肠毒性预测的“深度卷积神经网络”评论：可行性研究“
3. Comment on 'Deep convolutional neural network with transfer learning for rectum toxicity prediction in cervical cancer radiotherapy: a feasibility study' [J] . Valdes Gilmer, Interian Yannet Physics in medicine and biology. . 2018,第6期

机译：宫颈癌放射治疗直肠毒性预测的“深度卷积神经网络”评论：可行性研究“
4. Unified Registration Framework for Cumulative Dose Assessment in Cervical Cancer across External Beam Radiotherapy and Brachytherapy [C] . Sharmili Roy, John J. Totman, Bok A. Choo Conference on imaging processing . 2016

机译：宫颈癌外剂量放射疗法和近距离放射疗法累积剂量评估的统一注册框架
5. Internal and External Feature Engineering Applied to Deep Learning with Convolutional Neural Networks for Monocular Relative Pose Estimation in Visual Odometry and Self-Localization [D] . Parkins, Franz Payton. 2020

机译：内部和外部特征工程应用于卷积神经网络的深度学习，用于视觉测量和自定位中的单眼相对姿态估计
6. Dose reconstruction technique using non-rigid registration to evaluate spatial correspondence between high-dose region and late radiation toxicity: a case of tracheobronchial stenosis after external beam radiotherapy combined with endotracheal brachytherapy for tracheal cancer [O] . Kazuma Kobayashi, Naoya Murakami, Koji Inaba, 2016

机译：使用非刚性配准的剂量重建技术以评估高剂量区域与晚期放射毒性之间的空间对应性：一例外照射放疗联合气管内近距离放射治疗气管癌后气管支气管狭窄的病例
7. Prediction of Late Rectal and Bladder Toxicity by Deformable Image Registration-Based D2cc Compared to Conventional Summation Method for External Beam Radiotherapy with Brachytherapy in Cervical Cancer [O] . W. Chokvanich, T. Prasartseree, T. Jaikuna, 2020

机译：基于可变形的图像配准的D2CC预测晚直肠和膀胱毒性与宫颈癌近距离放射治疗的常规总结方法相比
8. Pilot Study Testing the Technical Feasibility and Toxicity of High Dose Rate Brachytherapy Combined with Hyperthermia to Treat Prostate Cancer Recurrences after External Beam Irradiation or Permanent Seed Implant Failure [R] . Corry, P. M. , Martinez, A. 2004

机译：试验研究测试高剂量率近距离放射治疗联合热疗的技术可行性和毒性，以治疗外照射或永久性种子植入失败后的前列腺癌复发

Deep Convolutional Neural Networks With Transfer Learning for Rectum Toxicity Prediction in Combined Brachytherapy and External Beam Radiation Therapy for Cervical Cancer

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