用深度学习算法在数字全息显微镜中提高3D配置文件质量的图像处理技术

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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
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Hyun-Woo Kim1, Myungjin Cho2, Min-Chul Lee1

  • 1Department of Computer Science and Networks, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka-shi 820-8502, Fukuoka, Japan.

Sensors (Basel, Switzerland)
|March 28, 2024
PubMed
概括

本研究介绍了一种改进的否定扩散概率模型 (IDDPM) 算法,用于减少3D成像中的噪声. 这种先进的方法提高了医疗应用数字全息显微镜的精度.

关键词:
数字全息显微镜 (DHM) 是一种数字全息显微镜.改进的否定扩散概率模型 (IDDPM)噪音过器 噪音过器

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