The present invention relates to a deep neural network-based cerebral hemorrhage diagnosis system comprising: an input unit which receives a CT image and presents bleeding areas and suspected bleeding areas; a bleeding size classification unit which is provided with the bleeding areas and suspected bleeding areas presented by the input unit and classifies the bleeding areas and suspected bleeding areas by size; a decoding unit which decodes the bleeding areas and suspected bleeding areas, classified by size by the bleeding size classification unit, by applying neural networks of different depth according to the size of the bleeding areas and suspected bleeding areas; and an output unit which sums and outputs, as a final bleeding area, the results decoded according to size by the decoding unit.
DEEP NEURAL NETWORK-BASED CEREBRAL HEMORRHAGE DIAGNOSIS SYSTEM