The invention discloses a medical image-based focus detection method. The method is applied to the field of artificial intelligence. The method can be specifically applied to the field of intelligentmedical treatment. The method comprises the steps: obtaining a to-be-predicted molybdenum target image; obtaining a probability value of each pixel point belonging to a focus in the to-be-predicted molybdenum target image through a main task network model, the main task network model being obtained through training of a source domain data set and a domain classification network model, and the domain classification network model being obtained through training of the source domain data set and a target domain data set; and generating a lump detection result of the to-be-predicted molybdenum target image according to the probability value of each pixel point belonging to the focus. The invention further provides a model training method and device. According to the method, the problem of domain difference between the source domain data set and the target domain data set is solved by utilizing the relationship between the main task network model and the domain classification network model.Therefore, the main task network model obtains excellent detection performance on the target data set.
Medical image-based focus detection method, model training method and model training device