Automated detection of glottic laryngeal carcinoma in laryngoscopic images from a multicentre database using a convolutional neural network.

Peikai Yan Shaohua Li Zhou Zhou Qian Liu Jiahui Wu Qingyi RenQiuhuan ChenZhipeng ChenZe ChenShaohua Chen Austin J Scholp Jack J JiangJing KangPingjiang Ge

Published in: Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery (2023)

This automatic diagnostic system has the potential to assist clinical laryngeal carcinoma diagnosis which may improve and standardise the diagnostic capacity of laryngologists using different laryngoscopes.

Keyphrases

convolutional neural network
deep learning
machine learning
study protocol
cross sectional
loop mediated isothermal amplification
high throughput
emergency department
risk assessment
real time pcr
adverse drug
double blind
climate change
sensitive detection