Enhanced UNet Approach for Detecting Stroke Lesions in Computed Tomography Brain Scans-Reference-Cited by-同舟云学术

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Enhanced UNet Approach for Detecting Stroke Lesions in Computed Tomography Brain Scans

Published:2024-05-15 Issue: Volume: Page:334-339
ISSN:
Container-title:2024 IEEE 4th International Conference on Smart Information Systems and Technologies (SIST)
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Author:

Tursynova Azhar¹,Ualiyev Nurzhan²,Sakhipov Aivar³,Omirzak Islam³,Tulebayev Yersultan³,Seitenov Altynbek³

Affiliation:

1. Al-Farabi Kazakh National University,Department of Artificial Intelligence and Big Data,Almaty,Kazakhstan

2. I. Zhansugurov Zhetysu University,Higher School of Technical Sciences,Taldykorgan,Kazakhstan

3. Astana IT University,Department of Computer Engineering,Astana,Kazakhstan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10629221/10629222/10629549.pdf?arnumber=10629549

Reference26 articles.

1. Statin treatment can reduce incidence of early seizure in acute ischemic stroke: A propensity score analysis

2. Burden of Stroke in Europe

3. Artificial intelligence for decision support in acute stroke — current roles and potential

4. Challenging the Ischemic Core Concept in Acute Ischemic Stroke Imaging

5. Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model

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