Medical image processing method based on attention mechanism and related equipment

The invention provides a medical image processing method based on an attention mechanism and related equipment, and the method comprises the steps: obtaining a three-dimensional medical image of a to-be-classified object, inputting the three-dimensional medical image into a feature extraction model for feature extraction, and outputting a three-dimensional feature map of the three-dimensional medical image; wherein the feature extraction model is obtained by training a three-dimensional residual convolutional network based on a double attention mechanism, and the double attention mechanism comprises a channel attention mechanism and a depth attention mechanism, so that the feature extraction model can extract deep semantic feature information of the three-dimensional medical image; the accuracy and the comprehensiveness of the three-dimensional feature map are improved, so that the three-dimensional feature map is subjected to pooling processing, the obtained target feature vector is input into the classifica