Development of deep learning-assisted overscan decision algorithm in low-dose chest CT: Application to lung cancer screening in Korean National CT accreditation program

Development of deep learning-assisted overscan decision algorithm in low-dose chest CT: Application to lung cancer screening in Korean National CT accreditation program

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We propose a deep learning-assisted overscan decision algorithm in chest low-dose computed tomography (LDCT) applicable to the lung cancer screening. The algorithm reflects the radiologists’ subjective evaluation criteria according to the Korea institute for accreditation of medical imaging (KIAMI)...

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Bibliographic Details
Main Authors: Sihwan Kim, Woo Kyoung Jeong, Jin Hwa Choi, Jong Hyo Kim, Minsoo Chun
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9522252/?tool=EBI

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9522252/?tool=EBI

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