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Dwell locations and dwell time prediction of cervical cancer brachytherapy using 3D U-net

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收录情况： ◇ SCIE ◇ CPCI(ISTP)

作者：

机构： [1]Sichuan Canc Hosp & Inst, Dept Radiat Oncol, Chengdu, Peoples R China [2]Mianyang Cent Hosp, Dept Nucl Med, Chengdu, Peoples R China

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ISSN：

关键词： Cervical cancer Deep learning

摘要：

The purpose of this study is to predict the dose for cervical cancer brachytherapy using a three-dimensional (3D) U-net model. This involves building radiation source-dwell labels and incorporating the concept of forward dose calculation.

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最新[2023]版：

大类 | 1 区

医学

小类 | 2 区肿瘤学 2 区核医学

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出版当年[2024]版：

无

最新[2023]版：

Q1 ONCOLOGY Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子： 4.9 最新[2023版] 5.4 最新五年平均 4.9 出版当年[2023版] 0 出版当年五年平均 4.9 出版前一年[2023版]

第一作者：

第一作者机构： [1]Sichuan Canc Hosp & Inst, Dept Radiat Oncol, Chengdu, Peoples R China

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