Deep Learning in Ischemic Stroke Imaging Analysis: A Comprehensive Review.
Ischemic stroke is a cerebrovascular disease with a high morbidity and mortality rate, which poses a serious challenge to human health and life. Meanwhile, the management of ischemic stroke remains highly dependent on manual visual analysis of noncontrast computed tomography (CT) or magnetic resonan...
| Publicado en: | BioMed Research International pp. 1 - 16 |
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| Autores principales: | , , , , , , , |
| Formato: | diagnostic images review tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
11/14/2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=160214490&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 160214490 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 11/14/2022 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 160214490 160214490 160214490 10.1155/2022/2456550 160214490 ppf: 1 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Deep Learning in Ischemic Stroke Imaging Analysis: A Comprehensive Review. aug: au: Cui, Liyuan Fan, Zhiyuan Yang, Yingjian Liu, Rui Wang, Dajiang Feng, Yingying Lu, Jiahui Fan, Yifeng affil: School of Medical Imaging, Hangzhou Medical College, Hangzhou, Zhejiang, China sug: subj: Deep Learning Ischemic Stroke Diagnosis Diagnostic Imaging Disease Management Tomography, X-Ray Computed Magnetic Resonance Imaging Radiologists Diagnosis, Computer Assisted Ischemic Stroke Prognosis ab: Ischemic stroke is a cerebrovascular disease with a high morbidity and mortality rate, which poses a serious challenge to human health and life. Meanwhile, the management of ischemic stroke remains highly dependent on manual visual analysis of noncontrast computed tomography (CT) or magnetic resonance imaging (MRI). However, artifacts and noise of the equipment as well as the radiologist experience play a significant role on diagnostic accuracy. To overcome these defects, the number of computer-aided diagnostic (CAD) methods for ischemic stroke is increasing substantially during the past decade. Particularly, deep learning models with massive data learning capabilities are recognized as powerful auxiliary tools for the acute intervention and guiding prognosis of ischemic stroke. To select appropriate interventions, facilitate clinical practice, and improve the clinical outcomes of patients, this review firstly surveys the current state-of-the-art deep learning technology. Then, we summarized the major applications in acute ischemic stroke imaging, particularly in exploring the potential function of stroke diagnosis and multimodal prognostication. Finally, we sketched out the current problems and prospects. pubtype: Academic Journal doctype: diagnostic images review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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