MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques.

Journal: BMC medical informatics and decision making
Published Date: Jan 23, 2023

Abstract

BACKGROUND: Detecting brain tumors in their early stages is crucial. Brain tumors are classified by biopsy, which can only be performed through definitive brain surgery. Computational intelligence-oriented techniques can help physicians identify and classify brain tumors. Herein, we proposed two deep learning methods and several machine learning approaches for diagnosing three types of tumor, i.e., glioma, meningioma, and pituitary gland tumors, as well as healthy brains without tumors, using magnetic resonance brain images to enable physicians to detect with high accuracy tumors in early stages.

Authors

  • Soheila Saeedi
    Department of Health Information Management & Technology, School of Allied Health Professions, Kashan University of Medical Sciences, Kashan, Iran; Student research committee, Kashan University of Medical sciences, Kashan, Iran.
  • Sorayya Rezayi
    Department of Health Information Management and Medical Informatics, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
  • Hamidreza Keshavarz
    Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran.
  • Sharareh R Niakan Kalhori
    Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.

Keywords

External Resources

Popular Topics
Recent Journals