A method and system for automatically classifying arterial phase, capillary phase, and venous phase sections, using magnetic resonance imaging or computed tomography perfusion imaging information is disclosed. The artificial intelligence-based blood flow section classification system is a system for classifying blood flow sections in a medical image of a brain disease patient. The artificial intelligence-based blood flow section classification system comprises: an region extraction unit for extracting a first region that represents a normal signal form according to characteristics of medical image signals of each voxel acquired over time, and a second region other than the first region; and a blood flow section classification unit for extracting characteristics of overall medical image signals of the first region and for classifying sections of arterial perfusion time, capillary perfusion time, and venous perfusion time using an artificial neural network or a machine learning technique based on the characteristics, wherein the information on arterial perfusion, capillary perfusion, and venous perfusion sections classified by the blood flow section classification unit is used as image data for visualization.
ARTIFICIAL INTELLIGENCE-BASED METHOD AND SYSTEM FOR CLASSIFICATION OF BLOOD FLOW SECTION