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

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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Detalles Bibliográficos
Autores principales: Kim, Sihwan, Jeong, Woo Kyoung, Choi, Jin Hwa, Kim, Jong Hyo, Chun, Minsoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9522252/
https://www.ncbi.nlm.nih.gov/pubmed/36174098
http://dx.doi.org/10.1371/journal.pone.0275531

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9522252/
https://www.ncbi.nlm.nih.gov/pubmed/36174098
http://dx.doi.org/10.1371/journal.pone.0275531

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