Patent attributes
Disclosed are an ASPECT score estimating system and a method thereof which estimate an ASPECT score which is a factor for identifying the stroke diseases from the brain CT images and a configuration including a pre-processing step of normalizing and standardizing a feature of an image dataset; a segmenting step of separating each lesion from an CT image which is classified into a supra ganglionic level and a ganglionic level; and a determining step of determining whether the lesion is a stroke by independently building a neural network which learns a positive/negative image for each lesion is provided to estimate an ASPECT score which is an objective indicator for diagnosing a condition of the stroke patient using a brain CT image of the patient.
