Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives.

Journal: Computers in biology and medicine
PMID: 37329621

Abstract

A brain tumor is an abnormal mass of tissue located inside the skull. In addition to putting pressure on the healthy parts of the brain, it can lead to significant health problems. Depending on the region of the brain tumor, it can cause a wide range of health issues. As malignant brain tumors grow rapidly, the mortality rate of individuals with this cancer can increase substantially with each passing week. Hence it is vital to detect these tumors early so that preventive measures can be taken at the initial stages. Computer-aided diagnostic (CAD) systems, in coordination with artificial intelligence (AI) techniques, have a vital role in the early detection of this disorder. In this review, we studied 124 research articles published from 2000 to 2022. Here, the challenges faced by CAD systems based on different modalities are highlighted along with the current requirements of this domain and future prospects in this area of research.

Authors

  • U Raghavendra
    Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India. Electronic address: raghavendra.u@manipal.edu.
  • Anjan Gudigar
    Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India.
  • Aritra Paul
    Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India.
  • T S Goutham
    Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India.
  • Mahesh Anil Inamdar
    Department of Mechatronics, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India.
  • Ajay Hegde
    Neurosurgery, Institute of Neurological Sciences, NHS Greater Glasgow and Clyde, Glasgow, United Kingdom.
  • Aruna Devi
    School of Education and Tertiary Access, University of the Sunshine Coast, Caboolture Campus, Australia.
  • Chui Ping Ooi
    School of Science and Technology, Singapore University of Social Sciences, Singapore, Singapore.
  • Ravinesh C Deo
    School of Agricultural Computational and Environmental Sciences, International Centre of Applied Climate Science (ICACS), University of Southern Queensland, Springfield, QLD, 4300, Australia. ravinesh.deo@usq.edu.au.
  • Prabal Datta Barua
    Cogninet Australia, Sydney, NSW 2010 Australia.
  • Filippo Molinari
    Department of Electronics and Telecommunications, Politecnico di Torino, Italy.
  • Edward J Ciaccio
    Department of Medicine, Celiac Disease Center, Columbia University, New York, USA.
  • U Rajendra Acharya
    School of Business (Information Systems), Faculty of Business, Education, Law & Arts, University of Southern Queensland, Darling Heights, Australia.

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