Skinet: a deep learning framework for skin lesion diagnosis with uncertainty estimation and explainability

HIGHLIGHTS

• who: Rajeev Kumar Singh et al. from the Editor:, University of Oklahoma have published the Article: SkiNet: A deep learning framework for skin lesion diagnosis with uncertainty estimation and explainability, in the Journal: PLOS ONE of 31/05/2021
• what: When the model makes a prediction for an inappropriate reason, instead of showing the prediction, the system may refer patients to clinicians. This study is beneficial in terms of generalisation and out-of-distribution data since, during training, the interpretability study can clearly aid to identify the important regions that the model is focusing on . . .
  

   

  

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

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

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