Evaluation of two semi-supervised learning methods and their combination for automatic classification of bone marrow cells

HIGHLIGHTS

• who: Iori Nakamura from the Graduate SchoolHokkaido University, Sapporo, Japan have published the research: Evaluation of two semi-supervised learning methods and their combination for automatic classification of bone marrow cells, in the Journal: Scientific Reports Scientific Reports
• what: The authors aimed at clarifying which semi-supervised learning technique is most useful in the classification of bone marrow blood cells. The authors evaluated the effect of increasing the number of training datasets on the improvement of performances between two types of semi-supervised methods and their combination, namely, only CST, only AL, and both of . . .
  

   

  

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