Clinical performance review for 3-D Deep Learning segmentation of stroke infarct from diffusion-weighted images

Clinical performance review for 3-D Deep Learning segmentation of stroke infarct from diffusion-weighted images

Introduction: During the subacute phase of ischemic stroke, MR diffusion-weighted imaging (DWI) is used to assess the extent of tissue injury. Segmentation of DWI infarct is challenging due to disease variability, but Deep Learning (DL) provides a solution, outperforming existing methods on small da...

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Bibliographic Details
Main Authors: Freda Werdiger, Vignan Yogendrakumar, Milanka Visser, James Kolacz, Christina Lam, Mitchell Hill, Chushuang Chen, Mark W. Parsons, Andrew Bivard
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Neuroimage: Reports
Subjects:
Ischemic stroke
Diffusion-weighted imaging
Deep learning segmentation
Online Access:http://www.sciencedirect.com/science/article/pii/S2666956024000023

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http://www.sciencedirect.com/science/article/pii/S2666956024000023

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