| abstract |
The present specification receives medical image data including human tissue and patient information, extracts a region of interest of a medical image from medical image data, normalizes medical image data and patient information of the extracted region of interest, and normalizes medical treatment. Disclosed is an osteoporosis diagnosis apparatus for inputting image data and patient information into a learned deep learning model to estimate a patient's osteoporosis diagnosis result, and output the estimated patient's osteoporosis diagnosis result, and a method for diagnosing osteoporosis thereof. |