METHOD FOR DETERMINE PROGRESS OF POLYCYSTIC KIDNEY OR POLYCYSTIC LIVER AND MEDICAL ELECTRONIC DEVICE THEREOF

摘要

In the medical electronic device according to an embodiment disclosed herein, an input module for acquiring at least one test image, a plurality of training images, and information on an area corresponding to a height or a region corresponding to a liver among the plurality of training images A memory for storing a deep learning model based on, and the input module and at least one processor electrically connected to the memory, wherein the at least one processor acquires the at least one test image through the input module, , Based on the stored deep learning model, detects an area corresponding to a height or an area corresponding to a liver among the acquired at least one test image, obtains an area of the detected area, and at least based on the acquired area It may be characterized in that it is configured to estimate the volume of the kidney or liver included in the obtained at least one test image. In addition, various effects that are directly or indirectly recognized through the present invention may be provided.