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[Reinforcement learning-based method for type B aortic dissection localization].

An Zeng1, Xianyang Lin1, Jingliang Zhao1

  • 1School of Computers, Guangdong University of Technology, Guangzhou 510006, P. R. China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|October 27, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel reinforcement learning method for precise type B aortic dissection localization. The approach enhances segmentation accuracy, particularly for models with initial lower performance.

Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Cardiovascular Surgery
Keywords:
Aortic dissectionReinforcement learningReward functionTwo-stage segmentation

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