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一个双解码器带的卷积注意网络用于超声波图像中的骨细分

Chuanba Liu1,2, Wenshuo Wang1, Rui Sun1

  • 1Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China.

Medical physics
|December 9, 2024
PubMed
概括

一个新的深度学习模型,BCA-Net,增强了计算机辅助骨科手术 (CAOS) 的超声波 (美国) 图像中的骨细分. 这种方法提高了准确性和效率,优于精确的骨结构提取的传统技术.

关键词:
带带卷积的卷积方式骨的细分 骨的细分 骨的细分深度学习是一种深度学习.双解码器网络的双解码器网络超声波图像的超声波图像可以看到.

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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.
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The appendicular skeleton, particularly the upper and lower limbs, is primarily made of long and short bones. The long...