A Systematic Literature Review: Image Segmentation on Brain MRI Image to Detect Brain Tumor

Computer Vision has played a crucial role in multiple fields of work including in medical applications. Some of these applications can be found in brain tumor detection. Early detection of brain tumors is highly important in terms of improving the patient's chance of survival. Magnetic Resonance Image (MRI) has been the go-to solution in terms of detecting brain tumors. Even so, the methods used are still vastly reliant on multiple manual procedures which creates a potential human error. This is due to the high variety of human tissue that could look closely similar to some of the brain tumors. With the growth of computer vision, image segmentation has shown to be reliable and can aid medical experts in detecting brain tumors using the MRI image provided. In this paper, we will explore how image segmentation can be applied in brain tumor detection and how beneficial it can be in the medical field with the help of the Mathematical Morphological Reconstruction (MMR) algorithm.