Neuroimage Clin 2022 May 12;35:103044. Epub 2022 May 12.
Community Medicine Research Center, Chang Gung Memorial Hospital, Keelung, Taiwan; Clinical Informatics and Medical Statistics Research Center, Chung Gung University, Taoyuan, Taiwan; Department of Emergency Medicine, Chang Gung Memorial Hospital, Keelung, Taiwan. Electronic address:
Background And Purpose: MRI images timely and accurately reflect ischemic injuries to the brain tissues and, therefore, can support clinical decision-making of acute ischemic stroke (AIS). To maximize the information provided by the MRI images, we leverage deep learning models to segment, classify, and map lesion distributions of AIS.
Methods: We evaluated brain MRI images of AIS patients from 2017 to 2020 at a tertiary teaching hospital and developed the Semantic Segmentation Guided Detector Network (SGD-Net), composed of the first U-shaped model for segmentation in diffusion-weighted imaging (DWI) and the second model for binary classification of lesion size (lacune vs. Read More