Training method and training system for tissue lesion recognition based on artificial neural network

The invention discloses a training method and training system for tissue lesion recognition based on an artificial neural network, and the method comprises the steps: preparing a training data set which comprises a plurality of examination images with lesions and annotation images which are related to the examination images and have lesion annotation results; performing feature extraction on the inspection image to obtain a feature map, and processing the inspection image based on an attention mechanism to obtain an attention heat map; using a first artificial neural network to classify the examination images, and combining the annotation images to obtain a first loss function, using a second artificial neural network module to classify the examination images based on the feature map and the attention heat map, and combining with the annotation result to obtain a second loss function, using a third artificial neural network to carry out disease-free judgment on the examination image to obtain a third loss function; by combining the three loss functions, the accuracy of tissue lesion recognition on tissue lesions can be effectively improved.