Segmentation of Hyper-Acute Ischemic Infarcts from Diffusion Weighted Imaging Based on Support Vector Machine

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ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.org/journal/jcc
E-mail: jcc@scirp.org

"Segmentation of Hyper-Acute Ischemic Infarcts from Diffusion Weighted Imaging Based on Support Vector Machine"
written by Yuqing Peng, Xiaodong Zhang, Qingmao Hu,
published by Journal of Computer and Communications, Vol.3 No.11, 2015

has been cited by the following article(s):

[1]	Applications of artificial intelligence for DWI and PWI data processing in acute ischemic stroke: Current practices and future directions
	Clinical Imaging, 2022

[2]	A deep supervised approach for ischemic lesion segmentation from multimodal MRI using Fully Convolutional Network
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[3]	Fully Automatic Segmentation of Acute Ischemic Lesions on Diffusion-Weighted Imaging Using Convolutional Neural Networks: Comparison with …
	2019

[4]	Fully automatic segmentation of acute ischemic lesions on diffusion-weighted imaging using convolutional neural networks: comparison with conventional …
	2019

[5]	Research Article Segmentation of Hyperacute Cerebral Infarcts Based on Sparse Representation of Diffusion Weighted Imaging
	2016

[6]	Segmentation of Hyperacute Cerebral Infarcts Based on Sparse Representation of Diffusion Weighted Imaging
	Computational and mathematical methods in medicine, 2016

[1]	Applications of artificial intelligence for DWI and PWI data processing in acute ischemic stroke: Current practices and future directions Clinical Imaging, 2022 DOI:10.1016/j.clinimag.2021.09.015

[2]	Applications of artificial intelligence for DWI and PWI data processing in acute ischemic stroke: Current practices and future directions Clinical Imaging, 2022 DOI:10.1016/j.clinimag.2021.09.015

[3]	Fully Automatic Segmentation of Acute Ischemic Lesions on Diffusion-Weighted Imaging Using Convolutional Neural Networks: Comparison with Conventional Algorithms Korean Journal of Radiology, 2019 DOI:10.3348/kjr.2018.0615

[4]	A deep supervised approach for ischemic lesion segmentation from multimodal MRI using Fully Convolutional Network Applied Soft Computing, 2019 DOI:10.1016/j.asoc.2019.105685

[5]	Segmentation of Hyperacute Cerebral Infarcts Based on Sparse Representation of Diffusion Weighted Imaging Computational and Mathematical Methods in Medicine, 2016 DOI:10.1155/2016/2581676

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