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人工智能增强的深度学习框架用于CT血管学中的肺栓塞检测

Nan-Han Lu1,2, Chi-Yuan Wang2, Kuo-Ying Liu1

  • 1Department of Radiology, E-DA Cancer Hospital, I-Shou University, No. 21, Yida Road, Jiao-Su Village, Yan-Chao District, Kaohsiung 82445, Taiwan.

Bioengineering (Basel, Switzerland)
|October 29, 2025
PubMed
概括

共识交叉优化融合 (CIOF) 通过融合多个深度学习模型,特别是对于小血块,提高了CT肺血管图像 (CTPA) 上的肺栓塞 (PE) 检测. 这种合体方法提高了对挑战远端栓塞的细分精度.

关键词:
CT肺血管造影 CT肺血管造影 CT肺血管造影达成共识的交叉优化聚变 (CIOF)深度学习是一种深度学习.整体细分 整体细分 整体细分医学成像医学成像肺栓塞 肺栓塞是一种肺栓塞.

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