Efficient breast cancer mammograms diagnosis using three deep neural networks and term variance

HIGHLIGHTS

• who: Ahmed S. Elkorany from the DepartmentMenoufia University have published the research: Efficient breast cancer mammograms diagnosis using three deep neural networks and term variance, in the Journal: Scientific Reports Scientific Reports of 11/02/2023
• what: The aim of this work was to enhance a mammogram-based BC diagnosis model employing 3-class cases. In the two stages of the experiment, the TV algorithm is applied twice for the selection of robust high-ranking features.
• how: The images dataset was introduced in Portable Gray Map (PGM) image format. In the study two . . .
  

   

  

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