Mengyang Lu1, Boyi Li1, Jingxian Wang2

  • 1College of Biomedical Engineering, Fudan University, China.

PubMed
まとめ

この研究では 稀少なフォトアコースティックトモグラフィの ディープラーニングモデルを導入し 多くの検出器の必要性を削減しました これにより,より少ない要素で高品質のイメージングが可能になり,フォトアコースティックイメージングがより容易になります.

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