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Visualizing the Invisible in Prostate Radiation Therapy: Markerless Prostate Target Localization Via a Deep Learning Model and Monoscopic Kv Projection X-Ray Image

机译：可视化前列腺放射治疗中的隐形：通过深度学习模型和单视速kV投影X射线图像无标记的前列腺目标定位

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W. Zhao; B. Han; Y. Yang; M.K. Buyyounouski; S.L. Hancock; H.P. Bagshaw; L. Xing;
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年度 2018
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1. Visualizing the Invisible in Prostate Radiation Therapy: Markerless Prostate Target Localization Via a Deep Learning Model and Monoscopic Kv Projection X-Ray Image [J] . Zhao W., Han B., Yang Y., International Journal of Radiation Oncology, Biology, Physics . 2018,第3Suppla期

机译：可视化前列腺放射治疗中的隐形：通过深度学习模型和单视速kV投影X射线图像无标记的前列腺目标定位
2. Validation of Planning Target Volume Margins by Analyzing Intrafractional Localization Errors for 14 Prostate Cancer Patients Based on Three-Dimensional Cross-Correlation between the Prostate Images of Planning CT and Intrafraction Cone-Beam CT during Volumetric Modulated Arc Therapy [J] . KenshiroShiraishi, MasahikoFutaguchi, AkihiroHaga, BioMed research international . 2014,第1期

机译：基于14例前列腺癌患者的分形内定位误差分析计划目标体积裕量的验证，基于计划CT和体积分数锥束CT的前列腺CT图像在体积调制电弧治疗期间的三维互相关
3. Validation of Planning Target Volume Margins by Analyzing Intrafractional Localization Errors for 14 Prostate Cancer Patients Based on Three-Dimensional Cross-Correlation between the Prostate Images of Planning CT and Intrafraction Cone-Beam CT during Volumetric Modulated Arc Therapy [J] . KenshiroShiraishi, MasahikoFutaguchi, AkihiroHaga, BioMed research international . 2014,第2期

机译：基于14例前列腺癌患者的分形内定位误差分析计划目标体积裕量的验证，基于计划CT和体积分数锥束CT的前列腺CT图像在体积调制电弧治疗期间的三维互相关
4. A Hybrid Method for Reliable Registration of Digitally Reconstructed Radiographs and kV X-ray Images for Image- Guided Radiation Therapy for Prostate Cancer [C] . Yulin Song, Boris Mueller, Maria F. Chan, Conference on Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling; 20080217-19; San Diego,CA(US) . 2008

机译：可靠的数字重建放射线照相和kV X射线图像配准的混合方法，用于前列腺癌的图像引导放射治疗
5. Differences in Disease-Free Survival and Acute Toxicity between African-American and non-Latino White Men with Localized Prostate Cancer Treated with Intensity Modulated Radiation Therapy. [D] . Oh, Steven Changsuk. 2011

机译：使用调强放射治疗治疗的非洲裔美国人和非拉丁美洲人患有局部前列腺癌的无病生存率和急性毒性之间的差异。
6. Reply to Jue et al. Value of MRI to Improve Deep Learning Model That Identifies High-Grade Prostate Cancer. Comment on Gentile et al. Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model. Diagnostics 2021 11 335 [O] . Francesco Gentile, Matteo Ferro, Bartolomeo Della Ventura, 2021

机译：回复jue等人。 MRI的价值改善识别高档前列腺癌的深度学习模型。评论Gentile等人。通过在深层学习模型中结合不同PSA分子形式和PSA密度来优化高级前列腺癌的优化鉴定。诊断202111335
7. A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy [O] . Anjali Balagopal, Dan Nguyen, Howard Morgan, 2021

机译：基于深入的学习框架，用于分割隐形临床目标卷，其估计术后前列腺癌放射治疗的不确定性

Visualizing the Invisible in Prostate Radiation Therapy: Markerless Prostate Target Localization Via a Deep Learning Model and Monoscopic Kv Projection X-Ray Image

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