Connected-segnets: a deep learning model for breast tumor segmentation from x-ray images

HIGHLIGHTS

• who: Mohammad Alkhaleefah et al. from the Department of Electrical Engineering, National Taipei University of Technology, Taipei, Taiwan have published the paper: Connected-SegNets: A Deep Learning Model for Breast Tumor Segmentation from X-ray Images, in the Journal: Cancers 2022, 14, 4030. of /2022/
• what: Inspired by Connected-UNets this study proposes a deep learning model called ConnectedSegNets for breast tumor segmentation from To address the issue of overfitting, this study has used two image augmentation methods, namely rotation and flipping. Inspired by the success of SegNet and Connected-UNets, this research proposed a . . .
  

   

  

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