CNN-XGboost

Yousra Hedhoud1, Tahar Mekhaznia1,2, Mohamed Amroune2

  • 1Tebessi University, Tebessa, Algeria.

Polish journal of radiology
|November 29, 2023
PubMed
概括

这项研究引入了使用CNN和XGboost的深度学习模型,用于从X射线图像中准确检测肺炎. 该模型达到87%的准确性,有助于区分病毒性和细菌性肺炎.

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