Deep Learning Empowers Lung Cancer Screening Based on Mobile Low-Dose Computed Tomography in Resource-Constrained Sites

Deep Learning Empowers Lung Cancer Screening Based on Mobile Low-Dose Computed Tomography in Resource-Constrained Sites

Background: Existing challenges of lung cancer screening included non-accessibility of computed tomography (CT) scanners and inter-reader variability, especially in resource-limited areas. The combination of mobile CT and deep learning technique has inspired innovations in the routine clinical pract...

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Bibliographic Details
Main Authors: Jun Shao, Gang Wang, Le Yi, Chengdi Wang, Tianzhong Lan, Xiuyuan Xu, Jixiang Guo, Taibing Deng, Dan Liu, Bojiang Chen, Zhang Yi, Weimin Li
Format: Article
Language:English
Published: IMR Press 2022-07-01
Series:Frontiers in Bioscience-Landmark
Subjects:
pulmonary nodules
deep learning
ct images
lung cancer screening
malignancy risk
Online Access:https://www.imrpress.com/journal/FBL/27/7/10.31083/j.fbl2707212

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https://www.imrpress.com/journal/FBL/27/7/10.31083/j.fbl2707212

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