obtaining a medical image;

obtaining a feature map and a medical image content recognition result that correspond to the medical image by using a medical image classification model, or obtaining the feature map and a lesion classification result that correspond to the medical image by using the medical classification model, the feature map including N channels, N being an integer greater than 1;

generating a thermodynamic diagram corresponding to the medical image content recognition result or the lesion classification result according to the feature map and a weight parameter set, the weight parameter set including N weight parameters, the weight parameters having a correspondence with the channels;

obtaining a gradient propagation result according to the medical image content recognition result or the lesion classification result based on a backward gradient propagation algorithm;

generating an object contour map corresponding to the medical image according to the gradient propagation result and convolutional network results of an input layer and previous layers of the medical image classification model, the object contour map describing overall object contour features of the medical image; and

generating an image recognition result corresponding to the medical image according to the thermodynamic diagram and the object contour map.