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Automatic classification and detection of oral cancer in photographic images using deep learning algorithms.

Kritsasith WarinWasit LimprasertSiriwan SuebnukarnSuthin JinapornthamPatcharapon Jantana
Published in: Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology (2021)
The DenseNet121 and faster R-CNN algorithm were proved to offer the acceptable potential for classification and detection of cancerous lesions in oral photographic images.
Keyphrases
  • deep learning
  • convolutional neural network
  • machine learning
  • artificial intelligence
  • loop mediated isothermal amplification
  • real time pcr
  • label free
  • risk assessment
  • human health
  • sensitive detection