Semi-supervised gastrointestinal stromal tumor detection via self-training

HIGHLIGHTS

• who: Revised et al. from the Department of Neurology, National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China have published the Article: Semi-Supervised Gastrointestinal Stromal Tumor Detection via Self-Training, in the Journal: Electronics 2023, 12, 904. of /2023/
• what: The authors propose a (GIST) method based on self-training using the new selection criterion to guarantee the quality of pseudo-labels and adding the pseudo-labeled data to the training set together with the labeled data after linear mixing. To prevent wrong pseudo-labels from producing errors that continue to iterate . . .
  

   

  

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