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深度学习范式及其对冠状动脉壁细分在血管内超声扫描中的偏差:更密切的观察

Vandana Kumari1, Naresh Kumar2, Sampath Kumar K1

  • 1School of Computer Science and Engineering, Galgotias University, Greater Noida 201310, India.

Journal of cardiovascular development and disease
|December 22, 2023
PubMed
概括

深度学习 (DL) 模型,特别是UNet,在血管内超声波 (IVUS) 成像中显示出冠状动脉壁细分的前景. 然而,目前的模型表现出偏差,突出了对无偏差设计和临床验证的需求,以改善冠状动脉疾病 (CAD) 的诊断.

关键词:
人工智能有偏见的偏见联合国网络 联合国网络 联合国网络冠状动脉疾病是一种冠状动脉疾病.深度学习是一种深度学习.静脉内超声波检查 静脉内超声波检查墙壁细分 墙壁细分 墙壁细分

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