Children congenital heart disease intelligent diagnosis system based on echocardiography
A technology of congenital heart disease and echocardiography, applied in the field of medical image intelligent processing, to reduce diagnostic errors, improve auxiliary diagnosis and education and training levels
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[0047] The embodiments of the present invention will be described in detail below, but the protection scope of the present invention is not limited to the examples.
[0048] use figure 1 The network structure in , uses the GeForce RTX 2080Ti GPU to train the classification model and the detection model, and uses the Pytorch framework to build the model of the present invention. For classification models, the classification model is trained by minimizing the cross-entropy loss between the predicted class and the true class. During the optimization process, Adam optimizer and learning rate decay strategy are used. For the detection model, its classification branch is trained by minimizing the cross-entropy loss between the predicted and ground-truth classes, and its regression branch is trained by minimizing the difference between the ground-truth and predicted bounding boxes. Similar to the classification model, the Adam optimizer is also used with an initial learning rate of...
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