Artificial intelligence-based detection of pharyngeal cancer using convolutional neural networks.

Atsuko TamashiroToshiyuki YoshioAkiyoshi IshiyamaTomohiro TsuchidaKazunori HijikataShoichi YoshimizuYusuke HoriuchiToshiaki HirasawaAkira SetoToru SasakiJunko FujisakiTomohiro Tada

Published in: Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society (2020)

The novel AI-based diagnostic system detected pharyngeal cancer with high sensitivity. It could facilitate early detection, thereby leading to better prognosis and quality of life for patients with pharyngeal cancers in the near future.

Keyphrases

artificial intelligence
deep learning
convolutional neural network
papillary thyroid
machine learning
big data
squamous cell
squamous cell carcinoma
lymph node metastasis
young adults
quantum dots
loop mediated isothermal amplification