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Dual resolution deep learning network with self-attention mechanism for classification and localisation of colorectal cancer in histopathological images.

Yan XuLiwen JiangShuting HuangZhenyu LiuJiangyu Zhang
Published in: Journal of clinical pathology (2022)
We compared DRSANet with benchmark networks which only use the patches from high magnification level. Experimental results reveal that the performance of DRSANet is better than the benchmark networks. Both context and details should be considered in deep learning method.
Keyphrases
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • machine learning
  • working memory
  • genome wide
  • single cell
  • single molecule
  • optical coherence tomography