空隙 发表于 2025-3-21 18:04:23

书目名称Artificial Intelligence in Radiation Therapy影响因子(影响力)<br>        http://figure.impactfactor.cn/if/?ISSN=BK0162516<br><br>        <br><br>书目名称Artificial Intelligence in Radiation Therapy影响因子(影响力)学科排名<br>        http://figure.impactfactor.cn/ifr/?ISSN=BK0162516<br><br>        <br><br>书目名称Artificial Intelligence in Radiation Therapy网络公开度<br>        http://figure.impactfactor.cn/at/?ISSN=BK0162516<br><br>        <br><br>书目名称Artificial Intelligence in Radiation Therapy网络公开度学科排名<br>        http://figure.impactfactor.cn/atr/?ISSN=BK0162516<br><br>        <br><br>书目名称Artificial Intelligence in Radiation Therapy被引频次<br>        http://figure.impactfactor.cn/tc/?ISSN=BK0162516<br><br>        <br><br>书目名称Artificial Intelligence in Radiation Therapy被引频次学科排名<br>        http://figure.impactfactor.cn/tcr/?ISSN=BK0162516<br><br>        <br><br>书目名称Artificial Intelligence in Radiation Therapy年度引用<br>        http://figure.impactfactor.cn/ii/?ISSN=BK0162516<br><br>        <br><br>书目名称Artificial Intelligence in Radiation Therapy年度引用学科排名<br>        http://figure.impactfactor.cn/iir/?ISSN=BK0162516<br><br>        <br><br>书目名称Artificial Intelligence in Radiation Therapy读者反馈<br>        http://figure.impactfactor.cn/5y/?ISSN=BK0162516<br><br>        <br><br>书目名称Artificial Intelligence in Radiation Therapy读者反馈学科排名<br>        http://figure.impactfactor.cn/5yr/?ISSN=BK0162516<br><br>        <br><br>

蚀刻 发表于 2025-3-21 23:40:22

Automatically Tracking and Detecting Significant Nodal Mass Shrinkage During Head-and-Neck Radiatio symmetry in calculating image saliency of MRI images. The ratio of mean saliency value (RSal) from the propagated nodal volume on a weekly image to the mean saliency value of the pre-treatment nodal volume was calculated to assess whether the nodal volume shrank significantly. We evaluated our meth

hemophilia 发表于 2025-3-22 03:45:40

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恫吓 发表于 2025-3-22 08:19:24

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大暴雨 发表于 2025-3-22 09:28:51

A Two-Stage Approach for Automated Prostate Lesion Detection and Classification with Mask R-CNN andod for . prostate lesion detection and classification, using input sequences of T2-weighted images, apparent diffusion coefficient (ADC) maps and high b-value diffusion-weighted images. In the first stage, a Mask R-CNN model is trained to automatically segment prostate structures. In the second stag

output 发表于 2025-3-22 16:41:36

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恸哭 发表于 2025-3-22 17:57:27

Voxel-Level Radiotherapy Dose Prediction Using Densely Connected Network with Dilated Convolutions,absolute error of dose volume histogram (DVH) and voxel-based mean absolute error were used to evaluate the prediction accuracy, with at PGTV, at PTV, at Lung, at Heart, at Spinal Cord, and at Body. These encouraging resul

有限 发表于 2025-3-23 01:05:04

Online Target Volume Estimation and Prediction from an Interlaced Slice Acquisition - A Manifold Emures as targets. Locally linear embedding (LLE) was combined with manifold alignment to establish correspondence across slice positions. Multislice target contours were generated using a LLE-based motion model for each real-time image. Motion predictions were performed using a weighted k-nearest nei

Urologist 发表于 2025-3-23 02:47:36

One-Dimensional Convolutional Network for Dosimetry Evaluation at Organs-at-Risk in Esophageal Raditwork (one-DCN) is used for the correlation modeling. This model can predict the DVH of multiple OARs based on the individual patient’s geometry without manual removal of radiation plans with outliers. The average prediction error of the measurement focusing on the left lung, right lung, heart, spin

arousal 发表于 2025-3-23 08:23:23

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查看完整版本: Titlebook: Artificial Intelligence in Radiation Therapy; First International Dan Nguyen,Lei Xing,Steve Jiang Conference proceedings 2019 Springer Nat