Automated cad system for early stroke diagnosis: Review
Stroke is an important health issue that affects millions of people globally each year. Early and precise stroke diagnosis is crucial for efficient treatment and better patient outcomes. Traditional stroke detection procedures, such as manual visual evaluation of clinical data, can be time-consu...
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my.utem.eprints.271142024-06-19T15:21:41Z http://eprints.utem.edu.my/id/eprint/27114/ Automated cad system for early stroke diagnosis: Review Azman, Izzatul Husna Mohd Saad, Norhashimah Samsudin, Adam Kandaya, Shaarmila Hamzah, Rostam Affendi Abdullah, Abdul Rahim Stroke is an important health issue that affects millions of people globally each year. Early and precise stroke diagnosis is crucial for efficient treatment and better patient outcomes. Traditional stroke detection procedures, such as manual visual evaluation of clinical data, can be time-consuming and error-prone. Computer-aided diagnostic (CAD) technologieshave emerged as a viable option for early stroke diagnosis in recent years. These systems analyze medical pictures, such as magnetic resonance imaging (MRI), and identify indicators of stroke using modern algorithms and machine learning approaches. The goal of this review paper is to offer a thorough overview of the current state-of-the-art in CAD systems for early stroke detection. We give an examination of the merits and limits of this technology, as well as future research and development directions in this field. Finally, we contend that CAD systems represent a promising solution for improving the efficiency and accuracy of early stroke diagnosis, resulting in better patient outcomes and lower healthcare costs. Science and Information Organization 2023 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/27114/2/0258720122023547.PDF Azman, Izzatul Husna and Mohd Saad, Norhashimah and Samsudin, Adam and Kandaya, Shaarmila and Hamzah, Rostam Affendi and Abdullah, Abdul Rahim (2023) Automated cad system for early stroke diagnosis: Review. International Journal of Advanced Computer Science and Applications, 14 (8). pp. 77-83. ISSN 2158-107X https://thesai.org/Downloads/Volume14No8/Paper_9-Automated_CAD_System_for_Early_Stroke_Diagnosis.pdf 10.14569/IJACSA.2023.0140809 |
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Stroke is an important health issue that affects millions of people globally each year. Early and precise stroke
diagnosis is crucial for efficient treatment and better patient outcomes. Traditional stroke detection procedures, such as
manual visual evaluation of clinical data, can be time-consuming and error-prone. Computer-aided diagnostic (CAD) technologieshave emerged as a viable option for early stroke diagnosis in recent years. These systems analyze medical pictures, such as magnetic resonance imaging (MRI), and identify indicators of stroke using modern algorithms and machine learning approaches. The goal of this review paper is to offer a thorough overview of the current state-of-the-art in CAD systems for early stroke detection. We give an examination of the merits and limits of this technology, as well as future research and development directions in this field. Finally, we contend that CAD systems represent a promising solution for improving the efficiency and accuracy of early stroke diagnosis, resulting in better patient outcomes and lower healthcare costs. |
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Article |
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Azman, Izzatul Husna Mohd Saad, Norhashimah Samsudin, Adam Kandaya, Shaarmila Hamzah, Rostam Affendi Abdullah, Abdul Rahim |
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Azman, Izzatul Husna Mohd Saad, Norhashimah Samsudin, Adam Kandaya, Shaarmila Hamzah, Rostam Affendi Abdullah, Abdul Rahim Automated cad system for early stroke diagnosis: Review |
author_facet |
Azman, Izzatul Husna Mohd Saad, Norhashimah Samsudin, Adam Kandaya, Shaarmila Hamzah, Rostam Affendi Abdullah, Abdul Rahim |
author_sort |
Azman, Izzatul Husna |
title |
Automated cad system for early stroke diagnosis: Review |
title_short |
Automated cad system for early stroke diagnosis: Review |
title_full |
Automated cad system for early stroke diagnosis: Review |
title_fullStr |
Automated cad system for early stroke diagnosis: Review |
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Automated cad system for early stroke diagnosis: Review |
title_sort |
automated cad system for early stroke diagnosis: review |
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Science and Information Organization |
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2023 |
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http://eprints.utem.edu.my/id/eprint/27114/2/0258720122023547.PDF http://eprints.utem.edu.my/id/eprint/27114/ https://thesai.org/Downloads/Volume14No8/Paper_9-Automated_CAD_System_for_Early_Stroke_Diagnosis.pdf |
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