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Updated: Feb 28, 2026

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基于视觉变压器模型的剂量预测和光束角度优化,用于BNCT

Yuliang Zong1, Changran Geng2, Gensheng Qian3

  • 1Department of Nuclear Science and Technology, Nanjing University of Aeronautics an d Astronautics, Nanjing University of Aeronautics an d Astronautics, Nanjing, 211106, China.

Physics in medicine and biology
|February 26, 2026
PubMed
概括

这项研究引入了一种新的深度学习模型,用于中子捕获疗法 (BNCT) 治疗计划. 人工智能准确预测辐射剂量,改善瘤向性和减少器官损伤,以获得更好的患者结果.

关键词:
在 BNCT 上,你会发现.贝叶斯的优化是贝叶斯的优化.剂量预测的预测剂量预测 视觉变压器 贝叶斯优化 BNCT BNCT视觉变压器 视觉变压器

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In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
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In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
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Energy Losses in Transformers01:21

Energy Losses in Transformers

In an ideal transformer, it is assumed that there are no energy losses, and, hence, all the power at the primary winding is transferred to the secondary winding. However, in reality,  the transformers always have some energy losses, and, hence, the output power obtained at the secondary winding is less than the input power at the primary winding due to energy losses.
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Equivalent Circuits for Practical Transformers01:28

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