ASPECT SYSTEM FOR ESTIMATING ASPECT SCORE BASED ON IMAGES OF STROKE PATIENTS

摘要

The ASPECT score estimation system according to the present invention is a pre-processing unit that normalizes and standardizes the features of an image dataset, an image processing unit that separates each lesion within a CT image classified into a supra ganglion level and a ganglion level, and positive for each lesion/ It is characterized by including a judging unit that independently determines a stroke of a lesion by independently constructing a neural network for learning voice images.