Machine learning and deep learning in glioblastoma: a systematic review and meta-analysis of diagnosis, prognosis, and treatment.

Journal: Discover oncology
Published Date:

Abstract

INTRODUCTION: Glioblastoma (GBM) is the most malignant primary brain cancer, associated with a median overall survival of 15 months. Traditional diagnosis and prognosis heavily rely on clinical examination and histological investigation, both of which are subjective and time-consuming. advances in machine learning (ML) and deep learning (DL) have largely accelerated the research of GBMs by enhancing tumour segmentation, molecular characterization and survival prediction.

Authors

  • Hadja Fatima Tbahriti
    Higher School of Biological Sciences of Oran, Oran, Algeria. tbfatima@gmail.com.
  • Ali Boukadoum
    Higher School of Biological Sciences of Oran, Oran, Algeria.
  • Meriem Benbernou
    Higher School of Biological Sciences of Oran, Oran, Algeria.
  • Mohamed Belhocine
    Department of Molecular Medicine, Al-Jawhara Centre for Molecular Medicine, Genetics, and Inherited Disorders, Arabian Gulf University, Manama, Bahrain. mrbelhocine.mohamed@gmail.com.

Keywords

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