Radiotherapy
PulseAugur coverage of Radiotherapy — every cluster mentioning Radiotherapy across labs, papers, and developer communities, ranked by signal.
1 天有情绪数据
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深度学习框架检测MRI异常，用于放射治疗
研究人员开发了一个无监督深度学习框架，用于检测和定位MRI扫描中的异常，旨在改进放射治疗工作流程。该两阶段系统首先对MRI切片进行分词，然后对正常分词的分布进行建模以识别偏差。该方法在盆腔MRI上实现了0.97的AUC，在脑部MRI上实现了0.81的AUC，显示出高准确性，并在异常定位方面表现出强空间一致性。
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SynthRAD2025挑战赛展示AI改进放疗用合成CT
SynthRAD2025挑战赛报告详细介绍了为放疗计划生成合成CT（sCT）图像的进展。今年的挑战赛重点是将MRI或锥束CT（CBCT）转换为等效CT图像，评估方法涵盖了跨不同身体区域的2300多名患者病例。深度学习模型显示出显著的改进，尤其是在CBCT到CT的转换方面，但在MRI到CT的准确性方面仍存在挑战，特别是在基于剂量的验证方面。
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New H3D-MarNet framework enhances CT image quality for radiotherapy
Researchers have developed H3D-MarNet, a novel two-stage framework designed to improve CT image quality for radiotherapy. The system first suppresses metal artifacts using wavelet-based denoising and then transforms kil…
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Study maps maturation of Traditional Chinese Medicine as radiotherapy adjuvant
A new paper analyzes 69,745 publications from 2000-2025 on Traditional Chinese Medicine (TCM) as an adjuvant to radiotherapy. The research reveals a cyclical evolution in the field, characterized by periods of expansion…