Research Article
A Survey of Stroke Image Analysis Techniques
@INPROCEEDINGS{10.1007/978-3-030-93709-6_30, author={Henok Yared Agizew and Asrat Mulatu Beyene}, title={A Survey of Stroke Image Analysis Techniques}, proceedings={Advances of Science and Technology. 9th EAI International Conference, ICAST 2021, Hybrid Event, Bahir Dar, Ethiopia, August 27--29, 2021, Proceedings, Part I}, proceedings_a={ICAST}, year={2022}, month={1}, keywords={Image analysis Systematic literature review Stroke image analysis}, doi={10.1007/978-3-030-93709-6_30} }- Henok Yared Agizew
Asrat Mulatu Beyene
Year: 2022
A Survey of Stroke Image Analysis Techniques
ICAST
Springer
DOI: 10.1007/978-3-030-93709-6_30
Abstract
Stroke is one of the instantaneously shocking and spiking cerebrovascular diseases having substantial residual effects. Image analysis techniques have the ability to diagnosing and providing proper treatment for stroke patients. To lighten the problem, various techniques of image analysis have been proposed. Thus, this survey intended to analyze these proposed image analysis approaches intending to thoroughly examine the state-of-the-art image analysis techniques. To prepare this survey, the systematic literature review method was employed. Based on the reviewed literature, several clinical and biological image datasets are found to be used in the process of stroke diagnosis. However, there are very few publicly accessible datasets are available currently. In this survey, each image analysis technique used for stroke image analysis processes is briefly discussed. Finally, open research challenges are identified that could be addressed in the future.
