Deep Learning in Ischemic Stroke Imaging Analysis: A Comprehensive Review. (14th November 2022)
- Record Type:
- Journal Article
- Title:
- Deep Learning in Ischemic Stroke Imaging Analysis: A Comprehensive Review. (14th November 2022)
- Main Title:
- Deep Learning in Ischemic Stroke Imaging Analysis: A Comprehensive Review
- Authors:
- Cui, Liyuan
Fan, Zhiyuan
Yang, Yingjian
Liu, Rui
Wang, Dajiang
Feng, Yingying
Lu, Jiahui
Fan, Yifeng - Other Names:
- Tyan Yu Chang Academic Editor.
- Abstract:
- Abstract : 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.
- Is Part Of:
- BioMed research international. Volume 2022(2022)
- Journal:
- BioMed research international
- Issue:
- Volume 2022(2022)
- Issue Display:
- Volume 2022, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 2022
- Issue:
- 2022
- Issue Sort Value:
- 2022-2022-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-11-14
- Subjects:
- Medicine -- Periodicals
Biology -- Periodicals
Biotechnology -- Periodicals
Life sciences -- Periodicals
610.5 - Journal URLs:
- https://www.hindawi.com/journals/bmri/ ↗
- DOI:
- 10.1155/2022/2456550 ↗
- Languages:
- English
- ISSNs:
- 2314-6133
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 24445.xml