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Towards machine learning-based quantitative hyperspectral image guidance for brain tumor resection.

David BlackDeclan ByrneAnna WalkeSidong LiuAntonio Di IevaSadahiro KanekoWalter StummerTim SalcudeanEric Suero-Molina
Published in: Communications medicine (2024)
These results demonstrate the fluorophores' differing abundances in different tissue classes and the value of the five fluorophores as potential optical biomarkers, opening new opportunities for intraoperative classification systems in fluorescence-guided neurosurgery.
Keyphrases
  • machine learning
  • deep learning
  • high resolution
  • artificial intelligence
  • big data
  • single molecule
  • high speed
  • energy transfer
  • human health
  • patients undergoing
  • risk assessment
  • mass spectrometry