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Sperm Cell Segmentation in Digital Micrographs based on Convolutional Neural Networks using U-Net Architecture.

Roy MeléndezCésar Armando Beltrán CastañónRosario Medina Rodríguez
Published in: CBMS (2021)
Keyphrases
  • convolutional neural networks
  • cell segmentation
  • quantitative analysis
  • low contrast
  • microscope images
  • image data
  • false alarms
  • early detection
  • cancer cells
  • convolutional network