
Research Article
Brain Imaging Tool in Patients with Trans Ischemic Attack: A Comparative Research Study Analysis of Computed Tomography and Magnetic Resonance Imaging
@INPROCEEDINGS{10.1007/978-3-031-35078-8_3, author={R. Bhuvana and R. J. Hemalatha}, title={Brain Imaging Tool in Patients with Trans Ischemic Attack: A Comparative Research Study Analysis of Computed Tomography and Magnetic Resonance Imaging}, proceedings={Intelligent Systems and Machine Learning. First EAI International Conference, ICISML 2022, Hyderabad, India, December 16-17, 2022, Proceedings, Part I}, proceedings_a={ICISML}, year={2023}, month={7}, keywords={Magnetic Resonance Imaging (MRI) Computed Tomography (CT) Transient Ischaemic Stroke (TIS) Haemorrhage Lesion}, doi={10.1007/978-3-031-35078-8_3} }
- R. Bhuvana
R. J. Hemalatha
Year: 2023
Brain Imaging Tool in Patients with Trans Ischemic Attack: A Comparative Research Study Analysis of Computed Tomography and Magnetic Resonance Imaging
ICISML
Springer
DOI: 10.1007/978-3-031-35078-8_3
Abstract
The processing and analysis of brain imaging to identify transient ischemic strokes has remained difficult due to the requirement for more precise abnormality identification and the extraction of concealed but essential information from image data. This is necessary in order to diagnose transient ischemic strokes. Because of both of these conditions, identifying people who have had transient ischemic strokes has become more challenging. In order to arrive at a diagnosis of transient ischemic stroke, it is necessary to have fulfilled either one of these conditions. The work that is being done right now has the intention of achieving a higher level of precision in the process of extracting and selecting features from image data. The work that is being done right now places a significant emphasis on this particular aspect. This is being done in order to obtain a more in-depth understanding of the images in terms of the detection of abnormalities, and it is being done so right now. By analysing multiple groups of abnormalities side by side, the purpose of this research is to help advance the development of MRI and CT scans that are more accurate. The comparison of several different types of anomalies is the primary focus of this research.