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Updated: Jun 22, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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通过使用深度学习生成的合成投影进行重建,从稀有获得的投影中改进了Lu SPECT图像的177个改进

Emma Wikberg1,2, Martijn van Essen3, Tobias Rydén4

  • 1Department of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden. emma.wikberg@vgregion.se.

EJNMMI physics
|June 28, 2024
PubMed
概括

深度学习生成的合成中间投影 (SIP) 可以减少SPECT/CT成像时间,同时保持准确的剂量测量. 这种方法提高了图像质量,并确保对脏和骨髓等器官进行可靠的吸收剂量计算.

关键词:
在这里,我们可以看到AIAIAI.深度学习是一种深度学习.剂量测量方法 剂量测量方法卢-177 卢-177 卢-177 卢-177 卢-177 卢-177 卢分子辐射疗法分子辐射疗法放射性核酸治疗是一种放射性核酸疗法.这是SPECT成像系统.在SPECT重建的重建.

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