Image recognition of pediatric pneumonia based on fusion of texture features and depth features

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  • who: Hao-Nan Wang and collaborators from the College of Engineering, Huaqiao University, Quanzhou, China have published the Article: Image Recognition of Pediatric Pneumonia Based on Fusion of Texture Features and Depth Features, in the Journal: Computational and Mathematical Methods in Medicine of 26/08/2022
  • what: Through experiments the model has achieved 92.19% accuracy in recognizing children`s pneumonia images 93.44% average precision 92.19% average recall and 92.81% average F1 coefficient and the model performance exceeds existing deep learning models and traditional feature recognition algorithms. The authors propose a convolutional . . .

     

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