reviewIEEE Reviews in Biomedical EngineeringJun 23, 2022Closed access

Image Segmentation for MR Brain Tumor Detection Using Machine Learning: A Review

TAToufique Ahmed SoomroLZLihong ZhengAJAhmed J. AfifiAAAhmed AliSSShafiullah Soomro

Charles Sturt University · Technische Universität Berlin · +5 more institutions

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Abstract

Magnetic Resonance Imaging (MRI) has commonly been used to detect and diagnose brain disease and monitor treatment as non-invasive imaging technology. MRI produces three-dimensional images that help neurologists to identify anomalies from brain images precisely. However, this is a time-consuming and labor-intensive process. The improvement in machine learning and efficient computation provides a computer-aid solution to analyze MRI images and identify the abnormality quickly and accurately. Image segmentation has become a hot and research-oriented area in the medical image analysis community. The computer-aid system for brain abnormalities identification provides the possibility for quickly classifying the…

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343
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7

Topics & keywords

Topics
Keywords
  • Computer science
  • Segmentation
  • Artificial intelligence
  • Image segmentation
  • Magnetic resonance imaging
  • Deep learning
  • Medical imaging
  • Computer vision
UN Sustainable Development Goals
  • Decent work and economic growth
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