Disclosed are an image recognition method, apparatus and device based on deep learning, and a storage medium. The method comprises: when a medical image to be recognized is detected, determining a target type of the medical image to be recognized; distributing, according to the target type of the medical image to be recognized and a pre-set association relationship between the type of the medical image to be recognized and each reorganization network model, the medical image to be recognized of the target type to a target recognition network model corresponding to the target type; and determining, on the basis of the target recognition network model, a pre-set target sign position and a corresponding pre-set target sign category of the medical image to be recognized, so as to obtain a processing result and output same. The present application solves, on the basis of an intelligent decision-making means, the technical problems of the low accuracy and efficiency of existing clinical image reorganization.
IMAGE RECOGNITION METHOD, APPARATUS AND DEVICE BASED ON DEEP LEARNING, AND STORAGE MEDIUM