Automatic assessment of DWI-ASPECTS for acute ischemic stroke based on deep learning

CONCLUSIONS: This study proposed an automated model for ASPECTS scoring of patients with acute ischemic stroke based on DWI images. Experimental results show that the method of segmentation first and then classification is feasible. Our method has the potential to assist physicians in the Alberta Stroke Program with early CT scoring and clinical stroke diagnosis.PMID:38687043 | DOI:10.1002/mp.17101

Source: Health Physics - April 30, 2024 Category: Physics Authors: Ting Fang Zhuoyun Jiang Yuxi Zhou Shouqiang Jia Jiaqi Zhao Shengdong Nie Source Type: research