Multichannel densenet architecture for classification of mammographic breast density for breast cancer detection

HIGHLIGHTS

• who: Kamal K. Sharma from the Department of Computer Science and Engineering, Lovely Professional University, Jalandhar, India, SIES Graduate School have published the paper: Multichannel DenseNet Architecture for Classification of Mammographic Breast Density for Breast Cancer Detection, in the Journal: (JOURNAL)
• what: The initial study focuses on image processing techniques such as area-based thresholding, region growing, and clustering algorithms. The elemental aspiration behind this study is to investigate the use of multichannel DenseNet architecture for MBD classification and analyze the proposed architecture compared with different existing methods. This model provides moderate classification accuracy despite . . .
  

   

  

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