The Combination of Whole-Brain Features and Local-Lesion Features in DSC-PWI May Improve Ischemic Stroke Outcome Prediction.

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作者： Yingwei,Guo ^[1] ; Yingjian,Yang ^[2] ; Mingming,Wang ^[1] ; Yu,Luo ^[2] ; Jia,Guo ^[3] ; Fengqiu,Cao ^[3] ; Jiaxi,Lu ^[4] ; Xueqiang,Zeng ^[1] ; Xiaoqiang,Miao ^[2] ; Asim,Zaman ^[2] ; Yan,Kang ^[5]

作者单位： College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China. ^[1] College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen 518118, China. ^[2] Department of Radiology, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, Shanghai 200434, China. ^[3] Department of Psychiatry, Columbia University, New York, NY 10027, USA. ^[4] School of Applied Technology, Shenzhen University, Shenzhen 518060, China. ^[5] Engineering Research Centre of Medical Imaging and Intelligent Analysis, Ministry of Education, Shenyang 110169, China. ^[6]

关键词 DSC-PWI dynamic radiomics features lasso local lesions outcome prediction whole brain

DOI 10.3390/life12111847

PMID 36430982

发布时间 2022-12-13

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Life (Basel, Switzerland)

2022年12卷11期

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The Combination of Whole-Brain Features and Local-Lesion Features in DSC-PWI May Improve Ischemic Stroke Outcome Prediction.

Life (Basel, Switzerland)

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Life (Basel, Switzerland)

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The Combination of Whole-Brain Features and Local-Lesion Features in DSC-PWI May Improve Ischemic Stroke Outcome Prediction.

Life (Basel, Switzerland)

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Life (Basel, Switzerland)

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