Deep Learning of Cancer Stem Cell Morphology.

Journal: Methods in molecular biology (Clifton, N.J.)
PMID: 38478348

Abstract

Knowledge regarding cancer stem cell (CSC) morphology is limited, and more extensive studies are therefore required. Image recognition technologies using artificial intelligence (AI) require no previous expertise in image annotation. Herein, we describe the construction of AI models that recognize the CSC morphology in cultures and tumor tissues. The visualization of the AI deep learning process enables insight to be obtained regarding unrecognized structures in an image.

Authors

  • Hiroyuki Kameda
    School of Computer Science, Tokyo University of Technology, 1401-1 Katakura-machi, Hachioji-shi, Tokyo 192-0982, Japan.
  • Hiroaki Ishihata
    School of Computer Science, Tokyo University of Technology, 1401-1 Katakura-Machi, Hachioji, Tokyo 192-0982, Japan.
  • Tomoyasu Sugiyama
    School of Bioscience and Technology, Tokyo University of Technology, 1401-1 Katakura-machi, Hachioji-shi, Tokyo 192-0982, Japan.

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