Research Progress of Deep Learning in the Diagnosis and Prevention of Stroke

Siqi Zhang; Miao Zhang; Shuai Ma; Qingyong Wang; Youyang Qu; Zhongren Sun; Tiansong Yang

doi:10.1155/2021/5213550

Research Progress of Deep Learning in the Diagnosis and Prevention of Stroke

Biomed Res Int. 2021 Aug 9:2021:5213550. doi: 10.1155/2021/5213550. eCollection 2021.

Authors

Siqi Zhang¹, Miao Zhang², Shuai Ma¹, Qingyong Wang¹, Youyang Qu³, Zhongren Sun¹, Tiansong Yang⁴

Affiliations

¹ Heilongjiang University of Chinese Medicine, No. 24 Heping Road, Harbin, China.
² Eighth Department of Acupuncture, Second Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin 150001, China.
³ Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, No. 246 Xuefu Road, Harbin 150086, China.
⁴ First Affiliated Hospital, Heilongjiang University of Chinese Medicine, No. 26 Heping Road, Harbin, China.

Abstract

In order to evaluate the importance of deep learning techniques in stroke diseases, this paper systematically reviews the relevant literature. Deep learning techniques have a significant impact on the diagnosis, treatment, and prediction of stroke. In addition, this study also discusses the current bottlenecks and the future development prospects of deep learning technology.

Publication types

Review
Retracted Publication

MeSH terms

Algorithms
Deep Learning
Humans
Image Processing, Computer-Assisted / methods*
Neural Networks, Computer
Stroke / diagnosis*
Stroke / prevention & control*