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Convolutional Neural Network Learning Versus Traditional Segmentation for the Approximation of the Degree of Defective Surface in Titanium for Implantable Medical Devices.

Ruxandra StoeanCatalin StoeanAdriana SamideGonzalo Joya
Published in: IWANN (1) (2019)
Keyphrases
  • convolutional neural network
  • medical devices
  • image segmentation
  • fully automatic
  • computer aided