A Review on Image Segmentation Techniques for MRI Brain Stroke Lesion

Authors

  • Norhashimah Mohd Saad Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Malaysia
  • Nor Shahirah Mohd Noor Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka, Malaysia
  • Abdul Rahim Abdullah Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Malaysia

Keywords:

Magnetic Resonance Imaging, Segmentation, Stroke

Abstract

One of the major categories of brain disorders is known as stroke, which it can affect the entire body. The ability to recover from a stroke depends on the severity of the stroke and how quickly the patients receive the medical treatment. Conventionally, the diagnosis of brain stroke is performed manually by professional neuroradiologists during a highly subjective and time-consuming process. This paper reviewed the techniques for automatic magnetic resonance imaging of brain lesions segmentation. The proposed review is important to identify more robust and accurate technique in segmenting the brain stroke lesion for computer-aided diagnosis. This could be an opportunity for the medical and engineering to collaborate in designing a complete end-to-end automated framework in detecting and segmenting stroke lesions. 

Downloads

Download data is not yet available.

Downloads

Published

2021-12-31

How to Cite

Mohd Saad, N., Mohd Noor, N. S. ., & Abdullah, A. R. (2021). A Review on Image Segmentation Techniques for MRI Brain Stroke Lesion. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 13(4), 27–34. Retrieved from https://jtec.utem.edu.my/jtec/article/view/6145