Clinical performance review for 3-D Deep Learning segmentation of stroke infarct from diffusion-weighted images-Reference-Cited by-同舟云学术

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

Published:2024-03 Issue:1 Volume:4 Page:100196
ISSN:2666-9560
Container-title:Neuroimage: Reports
language:en
Short-container-title:Neuroimage: Reports

Author:

Werdiger Freda^ORCID,Yogendrakumar Vignan,Visser Milanka,Kolacz James,Lam Christina,Hill Mitchell,Chen Chushuang,Parsons Mark W.,Bivard Andrew

Publisher

Elsevier BV

Reference32 articles.

1. Signal Evolution and infarction risk for apparent diffusion coefficient lesions in acute ischemic stroke are both time- and perfusion-Dependent;An;Stroke,2011

2. On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for ranking;Aydin;Eur Radiol Exp,2021

3. Association of follow-up infarct volume with functional outcome in acute ischemic stroke: a pooled analysis of seven randomized trials;Boers;J NeuroIntervent Surg,2018

4. Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks;Chen;Neuroimage: Clinical,2017

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning‐Based Prediction of Final Infarct Core from CT Perfusion Data: A Comparison to the Clinical Standard;Stroke: Vascular and Interventional Neurology;2024-09-11

2. Enhanced Ischemic Stroke Lesion Segmentation in MRI Using Attention U-Net with Generalized Dice Focal Loss;Applied Sciences;2024-09-11

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