Automated Detection of GlotticLaryngeal Carcinomain Laryngoscopic Images from a Multicenter Databaseusing a Convolutional Neural Network.

Peikai YanShaohua LiZhou ZhouQian LiuJiahui WuQingyi RenQiuhuan ChenZhipeng ChenZe ChenShaohua ChenAustin ScholpJack 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 standardize the diagnostic capacity of laryngologists using different laryngoscopes. This article is protected by copyright. All rights reserved.

Keyphrases

convolutional neural network
deep learning
machine learning
high throughput
loop mediated isothermal amplification
clinical trial
cross sectional
label free
human health
risk assessment
quantum dots