Application of dual-stream 3D convolutional neural network based on 18F-FDG PET/CT in distinguishing benign and invasive adenocarcinoma in ground-glass lung nodules.

Xiaonan ShaoRong NiuXiaoliang ShaoJianxiong GaoYunmei ShiZhenxing JiangYue-Tao Wang

Published in: EJNMMI physics (2021)

The 3D-CNN based on 18F-FDG PET/CT can be used to distinguish benign lesions and IAC in GGNs, and the performance is better when both CT and PET images are used together.

Keyphrases

convolutional neural network
deep learning
computed tomography
positron emission tomography
squamous cell carcinoma
image quality
dual energy
pet ct
contrast enhanced
locally advanced
pet imaging
machine learning
rectal cancer