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Performance Evaluation of Deep Learning-Based Prostate Cancer Screening Methods in Histopathological Images: Measuring the Impact of the Model's Complexity on Its Processing Speed.

Lourdes Duran-LopezJuan Pedro Dominguez-MoralesAntonio Rios-NavarroDaniel Gutierrez-GalanAngel Jiménez-FernandezSaturnino Vicente DiazAlejandro Linares-Barranco
Published in: Sensors (2021)
Keyphrases
  • processing speed
  • deep learning
  • probabilistic model
  • three dimensional
  • ground truth
  • computer aided
  • prostate cancer
  • neural network
  • pattern recognition
  • detection accuracy