Application of Machine Learning for Classification of Brain Tumors: A Systematic Review and Meta-Analysis.

Journal: World neurosurgery
Published Date: Apr 3, 2024

Abstract

BACKGROUND: Classifying brain tumors accurately is crucial for treatment and prognosis. Machine learning (ML) shows great promise in improving tumor classification accuracy. This study evaluates ML algorithms for differentiating various brain tumor types.

Authors

  • Laís Silva Santana
    School of Medicine, University of São Paulo, São Paulo, Brazil.
  • Jordana Borges Camargo Diniz
    Department of Neurology, Neurological Institute of Goiânia, Goiânia, Brazil.
  • Luisa Mothé Glioche Gasparri
    School of Medicine, Estácio de Sá University, Rio de Janeiro, Brazil.
  • Alessandra Buccaran Canto
    School of Medicine, Max Planck University Center, Heidelberg, Germany.
  • Sávio Batista Dos Reis
    School of Medicine, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
  • Iuri Santana Neville Ribeiro
    Department of Neurology, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
  • Eberval Gadelha Figueiredo
    Department of Neurology, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
  • João Paulo Mota Telles
    Department of Neurology, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil. Electronic address: joao.telles@fm.usp.br.

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