Deep Learning for Fully Automated Prediction of Overall Survival in Patients with Oropharyngeal Cancer Using FDG-PET Imaging.

Nai-Ming ChengJiawen YaoJinzheng CaiXianghua YeShilin ZhaoKui ZhaoWenlan ZhouIsabella NoguesYuankai HuoChun-Ta LiaoHung-Ming WangChien-Yu LinLi-Yu LeeJing XiaoLe LuLing ZhangTzu-Chen Yen

Published in: Clinical cancer research : an official journal of the American Association for Cancer Research (2021)

DeepPET-OPSCC achieved an accurate OS prediction in patients with OPSCC and enabled an objective, unbiased, and rapid assessment for OPSCC prognostication.

Keyphrases

pet imaging
deep learning
positron emission tomography
papillary thyroid
machine learning
artificial intelligence
convolutional neural network
high resolution
high throughput
squamous cell carcinoma
lymph node metastasis
computed tomography
quantum dots