Leveraging Serial Low-Dose CT Scans in Radiomics-based Reinforcement Learning to Improve Early Diagnosis of Lung Cancer at Baseline Screening-Reference-Cited by-同舟云学术

Leveraging Serial Low-Dose CT Scans in Radiomics-based Reinforcement Learning to Improve Early Diagnosis of Lung Cancer at Baseline Screening

Published:2024-06-01 Issue:3 Volume:6 Page:
ISSN:2638-6135
Container-title:Radiology: Cardiothoracic Imaging
language:en
Short-container-title:Radiology: Cardiothoracic Imaging

Author:

Wang Yifan¹^ORCID,Zhou Chuan¹,Ying Lei¹,Lee Elizabeth¹^ORCID,Chan Heang-Ping¹^ORCID,Chughtai Aamer¹,Hadjiiski Lubomir M.¹,Kazerooni Ella A.¹^ORCID

Affiliation:

1. From the Departments of Radiology (Y.W., C.Z., E.L., H.P.C., A.C., L.M.H., E.A.K.) and Internal Medicine (E.A.K.), The University of Michigan Medical School, 1500 E Medical Center Dr, Medical Inn Building, Rm C479, Ann Arbor, MI 48109-0904; Department of Electrical Engineering and Computer Science, The University of Michigan, Ann Arbor, Mich (Y.W., L.Y.); and Department of Diagnostic Radiology, Cleveland Clinic, Cleveland, Ohio (A.C.).

Funder

National Institutes of Health

Publisher

Radiological Society of North America (RSNA)

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryct.230196

Reference35 articles.

1. Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening

2. PL02.05 Effects of Volume CT Lung Cancer Screening: Mortality Results of the NELSON Randomised-Controlled Population Based Trial

3. Machine learning approach for distinguishing malignant and benign lung nodules utilizing standardized perinodular parenchymal features from CT

4. Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CT

5. Lung nodules: A comprehensive review on current approach and management

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