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PERFORMANCE OF SMARTPHONE-BASED DIGITAL IMAGES FOR CERVICAL CANCER SCREENING IN A LOW-RESOURCE CONTEXT.

Phuong Lien TranCaroline BenskiManuela VivianoPatrick PetignatChristophe CombescureJeromine JinoroJosea Lea HerinianasoloPierre Vassilakos
Published in: International journal of technology assessment in health care (2018)
Smartphone-based digital images, with its high portability, have a great potential for the diagnosis of CIN2+ in low-resource context.
Keyphrases
  • cervical cancer screening
  • deep learning
  • convolutional neural network
  • optical coherence tomography
  • human health
  • machine learning
  • risk assessment