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相关概念视频

Classification of Bones01:18

Classification of Bones

9.6K
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...
9.6K
Bone Remodeling01:40

Bone Remodeling

40.3K
Bone remodeling is a continuous and balanced process of bone resorption by osteoclasts and bone formation by osteoblasts. In adults, it helps maintain bone mass and calcium homeostasis. While mechanical stress can stimulate turnover as part of the normal maintenance and reparative process, several hormones also regulate bone remodeling.
40.3K

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Development of efficient genetic toolkits and heterologous chassis for bioprospecting of myxobacteria.

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[A bidirectional feature mapping classification model based on multi-constrained latent representation learning for differential diagnosis of pneumonia].

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[A Transformer-based multimodal model for predicting hospital-acquired infections using imaging and clinical laboratory data].

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相关实验视频

Updated: Jan 18, 2026

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

736

[用于骨盆活跃骨髓细分的扩散周期一致的生成对抗网络]

Li Zhuo1, Min Zeng1, Shunqian Tan1

  • 1School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.

Nan fang yi ke da xue xue bao = Journal of Southern Medical University
|January 16, 2026
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的扩散周期一致的生成对抗网络,用于精确的骨盆活跃骨髓细分,提高直肠癌患者的放射治疗精度.

关键词:
有活性的骨髓.扩散模型的扩散模型生成性的对抗性网络.图像分割 图像细分 图像细分这是直肠癌.

相关实验视频

Last Updated: Jan 18, 2026

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

736

科学领域:

  • 医疗成像医学成像
  • 人工智能的人工智能
  • 辐射疗法 辐射疗法

背景情况:

  • 传统的基于解剖图谱的方法对于个性化骨盆活跃骨髓 (ABM) 细分缺乏精度.
  • 精确的ABM细分对于有针对性的放射治疗至关重要,特别是在直肠癌治疗中.

研究的目的:

  • 开发一种先进的骨盆ABM细分方法,使用扩散周期一致的生成对抗网络.
  • 与现有技术相比,提高ABM细分的个性化精度.

主要方法:

  • 使用253名患者的骨盆PET-CT数据开发了一个三级级级跨模式学习框架.
  • 该框架包括用于CT-PET映射的循环一致的生成对抗网络和用于消除噪音的条件扩散模块.
  • 多尺度的渐进特征金字塔融合网络被用于细分,性能使用PSNR,SSIM,NMSE,DSC和ASSD进行评估.

主要成果:

  • 拟议的方法表现出卓越的性能,PSNR为26.42±0.63dB,SSIM为0.894±0.011.
  • 针对ABM的细分实现了0.777±0.023的平均子系数和3.52±0.41毫米的ASSD.
  • 该方法在细分精度方面明显优于现有技术.

结论:

  • 开发的方法显著提高了骨盆活跃骨髓的个性化细分精度.
  • 这种先进的技术非常适合用于用于直肠癌放射治疗的个性化骨髓保护.