Deep learning approach based on superpixel segmentation assisted labeling for automatic pressure ulcer diagnosis

HIGHLIGHTS

• who: Che Wei Chang et al. from the Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan have published the Article: Deep learning approach based on superpixel segmentation assisted labeling for automatic pressure ulcer diagnosis, in the Journal: PLOS ONE of February/17,/2022
• what: The authors propose a superpixel-assisted region-based method of labeling images for tissue classification. To test whether the dataset preprocessed by SLIC had a positive effect on the models to segment different tissues (granulation, slough and eschar), the 755 images previously labeled with labelme were used . . .
  

   

  

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