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ReRNet: A Deep Learning Network for Classifying Blood Cells.

Ziquan ZhuShui-Hua WangYu-Dong Zhang
Published in: Technology in cancer research & treatment (2023)
The ReRNet is compared with 4 state-of-the-art methods and achieves the best classification performance. The ReRNet is an effective method for blood cell classification based on these results.
Keyphrases
  • deep learning
  • machine learning
  • induced apoptosis
  • artificial intelligence
  • convolutional neural network
  • cell cycle arrest
  • single cell
  • cell therapy
  • oxidative stress
  • cell death
  • signaling pathway