Investigation of small lung lesion detection for lung cancer screening in low dose FDG PET imaging by deep neural networks

Investigation of small lung lesion detection for lung cancer screening in low dose FDG PET imaging by deep neural networks

PurposeFDG PET imaging is often recommended for the diagnosis of pulmonary nodules after indeterminate low dose CT lung cancer screening. Lowering FDG injecting is desirable for PET imaging. In this work, we aimed to investigate the performance of a deep learning framework in the automatic diagnoses...

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Bibliographic Details
Main Authors: Haijun Guo, Jun Wu, Zongneng Xie, Ivan W. K. Tham, Long Zhou, Jianhua Yan
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Public Health
Subjects:
lung cancer
deep learning
PET/CT
low-dose
lesion detection
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2022.1047714/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2022.1047714/full

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