Deep Learning-Based Automatic Classification of Ischemic Stroke Subtype Using Diffusion-Weighted Images

Deep Learning-Based Automatic Classification of Ischemic Stroke Subtype Using Diffusion-Weighted Images

Background and Purpose Accurate classification of ischemic stroke subtype is important for effective secondary prevention of stroke. We used diffusion-weighted image (DWI) and atrial fibrillation (AF) data to train a deep learning algorithm to classify stroke subtype. Methods Model development was d...

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Bibliographic Details
Main Authors: Wi-Sun Ryu, Dawid Schellingerhout, Hoyoun Lee, Keon-Joo Lee, Chi Kyung Kim, Beom Joon Kim, Jong-Won Chung, Jae-Sung Lim, Joon-Tae Kim, Dae-Hyun Kim, Jae-Kwan Cha, Leonard Sunwoo, Dongmin Kim, Sang-Il Suh, Oh Young Bang, Hee-Joon Bae, Dong-Eog Kim
Format: Article
Language:English
Published: Korean Stroke Society 2024-05-01
Series:Journal of Stroke
Subjects:
deep learning
artificial intelligence
diffusion magnetic resonance imaging
atrial fibrillation
ischemic stroke
Online Access:http://www.j-stroke.org/upload/pdf/jos-2024-00535.pdf

Internet

http://www.j-stroke.org/upload/pdf/jos-2024-00535.pdf

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