articleAlgorithmsMar 23, 2023GOLD OA

A Deep Analysis of Brain Tumor Detection from MR Images Using Deep Learning Networks

Central Michigan University · University of South Dakota

Indexed incrossrefdoaj

Abstract

Creating machines that behave and work in a way similar to humans is the objective of artificial intelligence (AI). In addition to pattern recognition, planning, and problem-solving, computer activities with artificial intelligence include other activities. A group of algorithms called “deep learning” is used in machine learning. With the aid of magnetic resonance imaging (MRI), deep learning is utilized to create models for the detection and categorization of brain tumors. This allows for the quick and simple identification of brain tumors. Brain disorders are mostly the result of aberrant brain cell proliferation, which can harm the structure of the brain and ultimately result in malignant brain cancer. The…

Citation impact

299
total citations
FWCI
34.76
Percentile
100%
References
75
Citations per year

Authors

3

Topics & keywords

Keywords
  • Artificial intelligence
  • Computer science
  • Deep learning
  • Convolutional neural network
  • Machine learning
  • Identification (biology)
  • Categorization
  • Brain tumor
UN Sustainable Development Goals
  • Good health and well-being
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