Empirical study of overfitting in deep learning for predicting breast cancer metastasis

HIGHLIGHTS

• who: Chuhan Xu and colleagues from the Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA have published the paper: Empirical Study of Overfitting in Deep Learning for Predicting Breast Cancer Metastasis, in the Journal: Cancers 2023, 15, 1969. of 23/02/2023
• what: For these hyperparameters, what are the ranges of values that you can choose to be most likely to avoid underfitting and overfitting? 5 of 18 Most of the research on deep learning in the medical field is based on image identification, focusing on convolutional neural_networks .
• how: The authors . . .
  

   

  

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