A comparative study of gastric histopathology sub-size image classification: from linear regression to visual transformer

HIGHLIGHTS

  • who: Weiming Hu and collaborators from the Shenzhen, China have published the Article: A comparative study of gastric histopathology sub-size image classification: From linear regression to visual transformer, in the Journal: (JOURNAL)
  • what: The authors compare the image classification performance of a large number of algorithms on sub-size images to expect to find algorithms with complementarity properties for ensemble learning to improve medical image classification performance. Deep learning parameter settings: This part of the experiment focuses on classifying GasHisSDB using four deep learning methods to observe model complementarity. The authors focus on the . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?