Abstract: Provided is a computing device for supporting medical image analysis. The computing device may include: at least one or more memories for storing a program composed of one or more modules for performing medical image analysis; a communication unit for acquiring a medical image and a facial image for a patient's head; and at least one processor for detecting a plurality of feature points from the facial image through a feature point detection module performing artificial neural network-based machine learning to thus superimpose the medical image and the facial image on top of each other with respect to a plurality of first feature points displayed on the medical image and a plurality of second feature points as at least some of the feature points detected from the facial image, wherein the first feature points are anatomical reference points indicating relative positions of at least one of facial skeleton, teeth, and facial contour.

Abstract: Provided is a labeling method and a computing device therefor. The method includes the steps of: acquiring a medical image, receiving the medical image, detecting regions of interest corresponding to at least one subject disease through a learned network function, and displaying the regions of interest on the medical image, and labeling a lesion region corresponding to the subject disease on the medical image according to the regions of interest and user inputs to the regions of interest.