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Updated: Jul 17, 2026

Hybrid µCT-FMT imaging and image analysis
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通过物理引导的机器学习辅助的光声相关性谱分析进行快速骨生物标志物评估

Ting Feng1, Jiayi Liu2, Dongqing Cheng2

  • 1College of Biomedical Engineering, Fudan University, Shanghai 200433, China; Yiwu Research Institute of Fudan University, Zhejiang 322000, China.

Ultrasonics
|February 20, 2026
PubMed
概括

这项研究引入了一种新的光声学 (PA) 光谱技术,使用物理引导的机器学习来定量分析骨组成. 这种非侵入性方法准确地描述了骨代谢,有助于诊断骨疾病.

关键词:
骨的新陈代谢 骨的新陈代谢机器学习是机器学习.摄影声学 摄影声学光声相关性谱的相声相关性谱.

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相关概念视频

Classification of Bones01:18

Classification of Bones

The bones of the human skeletal system are of varied shapes, sizes, and functions. They can be classified based on their shape and function into four major classes: long bones, short bones, flat bones, and irregular bones. Some classifications include a fifth type, the sesamoid bones, as a separate class, whereas others categorize them under short bones.
Long and Short Bones
The appendicular skeleton, particularly the upper and lower limbs, is primarily made of long and short bones. The long...