Convolutional neural network to classify infrared thermal images of fractured wrists in pediatrics

HIGHLIGHTS

• What: The aim of this study was to develop a deep learning (DL) CNN to differentiate between wrists with a fracture and wrists without a fracture, i.e., wrists with a sprain. In this part of the study, the same hyperparameters in Table 4 and the architecture in Figure 5 were used, but without image augmentation. The aim of this study was to develop an IRT image classification model utilizing a CNN-based deep neural_network, in contrast to the wrist fracture identification where feature extraction for the multilayer perceptron artificial neural_network was performed prior to the neural_network . . .
  

   

  

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