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
cell therapy
oxidative stress
endoplasmic reticulum stress
signaling pathway
cell death
pi k akt