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Artificial intelligence for histological subtype classification of breast cancer: combining multi-scale feature maps and the recurrent attention model.

Junjie LiWeiming MiYucheng GuoXinyu RenHao FuTao ZhangHao ZouZhiyong Liang
Published in: Histopathology (2022)
This model can imitate the diagnostic process of pathologists, pay attention to a series of local features on the pathology image, and summarize related information, in order to accurately classify breast cancer into its histological subtypes, which is important for treatment and prognosis.
Keyphrases
  • artificial intelligence
  • deep learning
  • machine learning
  • big data
  • working memory
  • healthcare
  • health information
  • young adults