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超高分辨率多对比无偏见的眼睛图谱,深度概率精细化

Ho Hin Lee1, Adam M Saunders2, Michael E Kim1

  • 1Vanderbilt University, Department of Computer Science, Nashville, Tennessee, United States.

Journal of medical imaging (Bellingham, Wash.)
|November 18, 2024
PubMed
概括

这项研究引入了一种创新的方法,通过结合超分辨率和深度学习来创建高分辨率的眼睛地图. 这一过程为多样化的群体产生了公正的空间参考,改善了解剖学对齐.

关键词:
深度学习是一种深度学习.医疗图像注册 医疗图像注册多对比图像成像多对比图像成像超级分辨率的超级分辨率没有偏见的眼睛图书馆.

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Phase Contrast and Differential Interference Contrast Microscopy01:26

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