研究人员开发了WING，一种新颖的生成网络，用于跨模态CT合成。该模型将回归目标重新表述为多个窗口化表示，解决了直接CT强度回归的挑战。WING利用门控卷积生成器和融合-精炼Transformer来聚合窗口化输出并精炼细节，在MRI到CT和CBCT到CT的基准测试中取得了最先进的性能。 AI
影响 推动了医学影像CT合成的进步，可能改善放疗计划并减少辐射暴露。
排序理由 该集群描述了一篇详细介绍新型生成网络模型的学术论文。
AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →
Generating CT volumes from MRI and CBCT can improve treatment planning in adaptive radiotherapy while avoiding additional radiation exposure. However, direct regression of CT intensities is challenged by the inherently high dynamic range and long-tailed distributions, thereby ave…
arXiv:2607.06234v1 Announce Type: new Abstract: Generating CT volumes from MRI and CBCT can improve treatment planning in adaptive radiotherapy while avoiding additional radiation exposure. However, direct regression of CT intensities is challenged by the inherently high dynamic …
Generating CT volumes from MRI and CBCT can improve treatment planning in adaptive radiotherapy while avoiding additional radiation exposure. However, direct regression of CT intensities is challenged by the inherently high dynamic range and long-tailed distributions, thereby ave…