ISC-DL: DL For Diagnosis of Ischemic Stroke | ||||
MSA Engineering Journal | ||||
Volume 2, Issue 2 - Serial Number 6, March 2023, Page 998-1021 PDF (1.11 MB) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/msaeng.2023.291926 | ||||
View on SCiNiTO | ||||
Authors | ||||
Mariam Salah Fekry1; shaimaa youssef sery2; Mohamed Zaky Al-atrazh3; Mohamed Gamal Ibrahiem4 | ||||
1MSA University ESE Department 6th Of October Giza Government Egypt | ||||
2MSA University, ESE Department, 6th of October, Giza Governorate 12573, Egypt | ||||
3MSA University ESE Department 6th Of October 12573 Egypt | ||||
4NGU, First 6th of October, Giza Governorate 3296121, Egypt | ||||
Abstract | ||||
Stroke is still the world's second biggest cause of mortality. It is one of the illnesses that artificial intelligence (AI) can detect. Early detection of an acute stroke is crucial for commencing prompt treatments and reducing morbidity and death. Imaging techniques such as (CT) Computed Tomography and (MRI) Magnetic Resonance Imaging can identify it, however, they take longer and have worse accuracy than AI. Artificial intelligence algorithms are particularly adapted to the rapid decision-making required in the management of big vessel occlusive strokes. Through early categorization by CT and MRI, AI can assist in identifying kinds of strokes such as ischemic and hemorrhagic strokes. With the help of AI, doctors can quickly analyze a patient's brain scan and receive results in minutes. Imaging is also important since professionals may evaluate amounts of data and detect any indicators of a possible stroke. AI enhances the quality of (CT) and (MRI) scans, yielding more than 90% accuracy and improving patient care. The AI detection time of a brain stroke is now 5 minutes. We will discuss the use of AI in stroke imaging and how to improve (CT) and (MRI) quality in this study. | ||||
Keywords | ||||
CT scan; classification; segmentation; LVO-detection | ||||
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