Login / Signup

Transformation from hematoxylin-and-eosin staining to Ki-67 immunohistochemistry digital staining images using deep learning: experimental validation on the labeling index.

Cunyuan JiKengo OshimaTakumi UrataFumikazu KimuraKeiko IshiiTakeshi UeharaKenji SuzukiSaori TakeyamaMasahiro Yamaguchi
Published in: Journal of medical imaging (Bellingham, Wash.) (2024)
Our study revealed that molecule-level insights could be obtained from H&E images using deep learning. Furthermore, the improvement brought via OD inference indicated a possible method for creating more generalizable models for digital staining via per-stain analysis.
Keyphrases
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • flow cytometry
  • single cell
  • machine learning
  • optical coherence tomography
  • radiation therapy