Brain tumour histopathology through the lens of deep learning: A systematic review.

Journal: Computers in biology and medicine
PMID: 39787663

Abstract

PROBLEM: Machine learning (ML)/Deep learning (DL) techniques have been evolving to solve more complex diseases, but it has been used relatively little in Glioblastoma (GBM) histopathological studies, which could benefit greatly due to the disease's complex pathogenesis.

Authors

  • Chun Kiet Vong
    Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
  • Alan Wang
    DeepCyto LLC, West Linn, Oregon, United States.
  • Mike Dragunow
    Centre for Brain Research, The University of Auckland, Auckland, New Zealand.
  • Thomas I-H Park
    Centre for Brain Research, The University of Auckland, Auckland, New Zealand.
  • Vickie Shim
    Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.

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