The impact of deep learning reconstruction in low dose computed tomography on the evaluation of interstitial lung disease

To evaluate the effect of the deep learning model reconstruction (DLM) method in terms of image quality and diagnostic agreement in low-dose computed tomography (LDCT) for interstitial lung disease (ILD), 193 patients who underwent LDCT for suspected ILD were retrospectively reviewed. Datasets were...

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Detalles Bibliográficos
Autores principales: Kim, Chu hyun, Chung, Myung Jin, Cha, Yoon Ki, Oh, Seok, Kim, Kwang gi, Yoo, Hongseok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10529569/
https://www.ncbi.nlm.nih.gov/pubmed/37756357
http://dx.doi.org/10.1371/journal.pone.0291745

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10529569/
https://www.ncbi.nlm.nih.gov/pubmed/37756357
http://dx.doi.org/10.1371/journal.pone.0291745

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