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Automatic anatomical classification of colonoscopic images using deep convolutional neural networks.

Hiroaki SaitoTetsuya TanimotoTsuyoshi OzawaSoichiro IshiharaMitsuhiro FujishiroSatoki ShichijoDai HirasawaTomoki MatsudaYuma EndoTomohiro Tada
Published in: Gastroenterology report (2020)
We constructed the new CNN system with clinically relevant performance for recognizing anatomical locations of colonoscopy images, which is the first step in constructing a CAD system that will support us during colonoscopy and provide an assurance of the quality of the colonoscopy procedure.
Keyphrases
  • convolutional neural network
  • deep learning
  • colorectal cancer screening
  • machine learning
  • coronary artery disease
  • wastewater treatment
  • minimally invasive
  • quality improvement