Communications Medicine (Apr 2022)

Automated bone marrow cytology using deep learning to generate a histogram of cell types

  • Rohollah Moosavi Tayebi,
  • Youqing Mu,
  • Taher Dehkharghanian,
  • Catherine Ross,
  • Monalisa Sur,
  • Ronan Foley,
  • Hamid R. Tizhoosh,
  • Clinton J. V. Campbell

DOI
https://doi.org/10.1038/s43856-022-00107-6
Journal volume & issue
Vol. 2, no. 1
pp. 1 – 14

Abstract

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Moosavi Tayebi et al. develop a deep learning-based computational pathology tool for automated bone marrow cytology from whole slide images. Their approach generates a histogram of cell types present within the bone marrow aspirate to aid in diagnostic haematopathology.